Meta tags:
author=Despoina Paschalidou;
description=Despoina Paschalidou is a Senior Research Scientist at the NVIDIA Spatial Intelligence Lab, working on computer vision and graphics: 3D reconstruction, generative models, and embodied intelligence.;

Headings (most frequently used words):

-

Text of the page (most frequently used words):
and (205), the (102), for (47), that (41), model (40), our (38), with (31), paschalidou (27), despoina (27), cvpr (27), paper (27), vision (21), part (21), this (21), generation (21), 2023 (21), computer (19), objects (19), world (19), video (18), models (18), based (17), 2024 (17), are (16), high (16), learning (15), parts (15), 2026 (15), pattern (14), recognition (14), year (14), code (14), from (14), guibas (14), leonidas (14), title (13), author (13), bibtex (13), project (13), page (13), abstract (13), trained (13), generative (13), point (13), using (12), reconstruction (12), 2021 (12), accepted (12), inproceedings (11), shape (11), booktitle (11), scene (11), supervision (11), methods (11), neural (11), object (11), fidler (10), sanja (10), can (10), quality (10), data (10), wang (10), geiger (9), andreas (9), jun (9), shapes (9), which (9), demonstrate (9), more (9), single (9), primitives (9), autoregressive (9), aware (9), scenes (9), curvecloudnet (9), motion (9), workshop (9), representations (8), than (8), poster (8), latent (8), synthesis (8), park (8), jeong (8), joon (8), 2025 (8), may (8), proceedings (7), ieee (7), conf (7), complex (7), while (7), without (7), existing (7), work (7), foundation (7), physical (7), nvidia (7), omnidreams (7), research (7), feb (7), various (6), 2020 (6), these (6), novel (6), structure (6), slides (6), implicit (6), processing (6), diverse (6), applications (6), only (6), room (6), generates (6), alto (6), latents (6), international (6), conference (6), real (6), liu (6), diffusion (6), cosmos (6), arxiv (6), wei (6), time (6), outstanding (6), received (6), superquadrics (5), beyond (5), cuboids (5), 2019 (5), into (5), shapenet (5), well (5), image (5), level (5), progress (5), however (5), its (5), between (5), where (5), fidelity (5), primitive (5), both (5), any (5), post (5), evaluations (5), atiss (5), partial (5), training (5), transformer (5), grid (5), generate (5), content (5), such (5), conditioned (5), pre (5), open (5), policy (5), zhang (5), pasta (5), 3dv (5), two (5), motive (5), autonomous (5), driving (5), was (5), jan (5), ali (4), representation (4), expressive (4), fine (4), not (4), hierarchical (4), decomposition (4), set (4), geometry (4), their (4), datasets (4), capture (4), efficient (4), state (4), amlan (4), kar (4), transformers (4), indoor (4), systems (4), simulation (4), present (4), train (4), wetzstein (4), gordon (4), previous (4), one (4), school (4), each (4), over (4), partnerf (4), generating (4), editable (4), creation (4), cc3d (4), compositional (4), iccv (4), cloud (4), curve (4), like (4), priors (4), photorealistic (4), shen (4), platform (4), xindi (4), gao (4), lorraine (4), jonathan (4), icml (4), dynamic (4), closed (4), loop (4), papers (4), reviewer (4), award (4), organizing (4), revisited (3), parsing (3), month (3), has (3), solution (3), moreover (3), consistent (3), results (3), human (3), dataset (3), have (3), blog (3), unsupervised (3), luc (3), van (3), gool (3), distinct (3), networks (3), impressive (3), local (3), fewer (3), experiments (3), invertible (3), network (3), surface (3), neurips (3), ability (3), realistic (3), layouts (3), interactive (3), synthetic (3), environments (3), makes (3), layout (3), alternating (3), topologies (3), clouds (3), spatial (3), detail (3), thought (3), voxel (3), geometric (3), performance (3), several (3), require (3), appearance (3), improved (3), compared (3), andrea (3), introduce (3), synthesizes (3), view (3), most (3), modeling (3), controllable (3), visual (3), works (3), backbone (3), cad (3), via (3), adversarial (3), distillation (3), huang (3), jing (3), method (3), first (3), yuxuan (3), lin (3), chen (3), jay (3), zhangjie (3), fangyin (3), ren (3), huan (3), ling (3), laura (3), leal (3), seung (3), wook (3), kim (3), francesco (3), ferroni (3), yifan (3), next (3), attribution (3), temporal (3), influence (3), vehicle (3), mar (3), got (3), phd (3), 2022 (3), area (3), chair (3), wacv (3), ulusoy (2), osman (2), been (2), long (2), goal (2), problem (2), traditional (2), cuboid (2), being (2), loss (2), learns (2), parse (2), categories (2), poses (2), could (2), rgb (2), perceive (2), recent (2), when (2), input (2), focuses (2), considering (2), address (2), challenging (2), formulation (2), allows (2), recover (2), structural (2), form (2), simple (2), components (2), faust (2), facilitates (2), reasoning (2), abstractions (2), katharopoulos (2), angelos (2), led (2), geometries (2), semantically (2), arrangements (2), accurately (2), reconstruct (2), number (2), defines (2), inn (2), enables (2), computation (2), accurate (2), art (2), maria (2), shugrina (2), karsten (2), kreis (2), advances (2), information (2), unlocks (2), better (2), tools (2), architecture (2), plausible (2), contrast (2), prior (2), sequence (2), same (2), general (2), arrangement (2), permutation (2), conditioning (2), across (2), end (2), bounding (2), front (2), parameters (2), simpler (2), implement (2), zhen (2), zhou (2), shijie (2), you (2), suya (2), kadambi (2), achuta (2), identifies (2), another (2), decode (2), runtime (2), propose (2), lightweight (2), improvement (2), but (2), konstantinos (2), tertikas (2), boxiao (2), pan (2), mikaela (2), angelina (2), ioannis (2), emiris (2), yannis (2), avrithis (2), gave (2), rise (2), able (2), locally (2), control (2), produce (2), does (2), explicit (2), nerfs (2), operations (2), different (2), hard (2), ray (2), affect (2), others (2), bahmani (2), sherwin (2), yan (2), xingguang (2), tagliasacchi (2), images (2), gans (2), multiple (2), approach (2), new (2), process (2), stearns (2), colton (2), rempe (2), davis (2), alex (2), jiateng (2), mascha (2), sébastien (2), modern (2), sensors (2), backbones (2), rich (2), rely (2), size (2), sparse (2), large (2), alternatives (2), variety (2), past (2), wan (2), ziyu (2), ian (2), hongyu (2), bokui (2), xiang (2), xiaoyu (2), liao (2), increased (2), demand (2), mode (2), distribution (2), directly (2), diversity (2), pipeline (2), article (2), agarwal (2), niket (2), arslan (2), bala (2), maciej (2), balaji (2), yogesh (2), journal (2), preprint (2), needs (2), digital (2), twin (2), help (2), customized (2), curation (2), critical (2), zeng (2), david (2), taixé (2), songlin (2), cuboidal (2), blending (2), meshes (2), text (2), specific (2), torralba (2), antonio (2), russakovsky (2), olga (2), machine (2), role (2), centric (2), framework (2), use (2), tuning (2), clips (2), dynamics (2), scalable (2), improves (2), selected (2), oral (2), honorable (2), mention (2), basant (2), aarti (2), garcia (2), cobo (2), guillermo (2), turki (2), haithem (2), seo (2), jaewoo (2), lucas (2), james (2), jialiang (2), kai (2), tothova (2), katarina (2), xie (2), kevin (2), tyszkiewicz (2), lutio (2), riccardo (2), ruilong (2), tianchang (2), cao (2), tianshi (2), pfaff (2), tobias (2), lew (2), william (2), xuanchi (2), gojcic (2), zan (2), zian (2), policies (2), scenarios (2), environment (2), actions (2), simulator (2), sensor (2), simulators (2), highly (2), mid (2), autoregressively (2), action (2), videos (2), alpamayo (2), evaluating (2), show (2), also (2), serve (2), publications (2), 2018 (2), check (2), documentation (2), released (2), interning (2), summer (2), available (2), wonderful (2), dec (2), 1st (2), 2nd (2), vocabulary (2), understanding (2), eccv (2), wild (2), started (2), stanford (2), jul (2), very (2), senior (2), scientist (2), worked (2), university (2), intelligence (2), paschalidou2019cvpr, abstracting, parsimonious, standing, presents, goes, exploiting, atomic, elements, lead, parses, easier, learn, provide, analytical, chamfer, avoids, need, computational, expensive, reinforcement, iterative, prediction, superquadric, surreal, body, flexibility, capturing, details, modelled, paschalidou2020cvpr, humans, characterized, low, reflectance, connectivity, adjacency, symmetry, properties, convolutional, cnns, demonstrated, even, majority, recovering, relations, proposing, jointly, recovers, higher, binary, tree, represented, modeled, organization, indeed, about, paschalidou2021cvpr, extraction, parallel, seek, represent, due, simplicity, fail, small, trade, off, implements, homeomorphic, mappings, sphere, target, compute, inverse, mapping, homeomorphism, turn, function, mesh, additional, freihand, thus, simultaneously, achieve, geometrically, interpretable, reconstructions, order, magnitude, abstraction, podcast, paschalidou2021neurips, synthesize, furniture, automatically, many, creating, given, type, floor, plan, rooms, unordered, sets, argue, natural, generally, useful, fully, automatic, example, used, completion, specified, user, suggestions, enable, leverages, equivariance, invariant, orderings, labeled, boxes, four, types, consistently, addition, runs, faster, zhen2023cvpr, introduces, surfaces, noisy, encodings, important, encode, vector, triplane, tradeoffs, coarse, lose, frequency, preserve, difficult, suffer, sequentially, alternate, before, converging, easy, find, preserves, expressiveness, decoding, validate, recovery, observe, tertikas2023cvpr, edit, essential, property, unlock, achieved, cannot, textures, devise, defined, augmented, affine, transformation, editing, applying, transformations, mixing, etc, ensure, manipulable, enforce, assignment, rays, sure, color, determined, nerf, result, altering, approaches, relying, bahmani2023iccv, conditional, semantic, limit, applicability, aligned, focus, nature, devising, layoutbased, implementing, field, stronger, inductive, bias, created, gan, allowing, kitti, 360, comparison, stearns2024cvpr, depth, lidar, operate, sweeping, laser, beams, resulting, notable, structures, scheme, called, takes, advantage, inherent, discard, traversal, patterns, generic, parameterizes, collection, polylines, dubbed, establishing, ordering, points, along, curves, captures, efficiently, reason, evaluate, exhibit, outperforms, segmentation, settings, notably, scaling, exhibiting, all, handle, larger, wan2024cvpr, robotics, gaming, powerful, pipelines, capable, synthesizing, score, sampling, sds, algorithm, optimize, rendered, maintains, likelihood, evaluated, finding, correct, dimensional, produced, often, leads, issues, saturation, smoothing, janus, artifacts, paradigm, utilizes, instead, focusing, seeking, discrepancy, multi, renderings, manner, prompt, harnessing, space, wide, including, continuous, interpolation, domain, superiority, terms, agarwal2025arxiv, 2501, 03575, digitally, itself, developers, build, setups, position, purpose, tuned, downstream, covers, examples, tokenizers, builders, solve, problems, society, make, source, weight, permissive, licenses, artur, zolkowski, qingqing, zhao, qinsheng, xiaohui, yen, yang, jiashu, xinyue, ting, chun, heng, haoxiang, hao, jibin, varghese, cheng, tseng, przemek, tredak, lyne, tchapmi, shitao, tang, bartosz, stefaniak, stella, shi, schmerling, vasanth, rao, naik, sabavat, xiaowei, fitsum, reda, morteza, ramezanali, lindsey, pavao, zeeshan, patel, sriharsha, niverty, seungjun, nah, arsalan, mousavian, kaichun, hanzi, mao, qianli, alice, luo, xian, ming, tsung, hsuan, zhaoshuo, anqi, shiyi, lan, grace, lam, gergely, klár, jingyi, jin, pooya, jannaty, jacob, huffman, jiahui, ethan, siddharth, gururani, jinwei, yunhao, songwei, dieter, fox, michele, fenzi, jiaojiao, fan, daniel, dworakowski, ding, yin, cui, yongxin, prithvijit, chattopadhyay, tiffany, cai, erik, barker, li20263dv, automate, tremendous, deep, comprises, main, implemented, decoder, composes, sequences, stages, annotated, watertight, showcase, perform, inputs, scratch, guided, explicitly, box, boundaries, considers, underlying, select, meaningful, variations, evidenced, non, wu2026icml, taix, despite, rapid, influencing, poorly, understood, gradient, scales, study, improve, degrade, isolates, static, weighted, masks, yielding, strongly, guides, consistency, plausibility, smoothness, degree, vbench, achieving, preference, win, rate, pretrained, base, represents, attribute, rather, curate, basant2026arxiv, micha, 2606, 03159, capabilities, advance, safe, evaluation, tail, remains, bottleneck, actively, interacts, dynamically, update, generated, observations, offer, photorealism, they, fundamentally, constrained, initial, captured, struggle, generalize, overcome, limitations, leveraging, 21k, hours, unobserved, phenomena, extreme, weather, unpredictable, agent, behaviors, crucially, conditions, frames, current, immediate, deployed, system, alpasim, orchestrator, acts, responsive, reactive, providing, comprehensive, additionally, preliminary, indicating, wam, achieves, strong, vehicles, nurec, surpassing, vla, total, highlight, potential, architectures, michał, raynet, volumetric, potentials, pytorch, toronto, library, visualization, python, opengl, 3dviz, out, learned, cool, demo, london, fair, sep, after, years, successfully, defended, vancouver, second, tmlr, paris, seattle, milan, opensun3d, 3rd, challenges, ecommerce, april, postdoc, prof, copilot, honored, eecs, rising, stars, nov, three, multiphys, full, will, program, committee, eurographics, june, iclr, rematching, flow, presentation, news, previously, advised, postdoctoral, researcher, did, undergraduate, electrical, engineering, greece, during, lucky, spent, working, months, facebook, vedaldi, novotny, christos, diou, anastasios, delopoulos, aristotle, thessaloniki, max, planck, eth, center, santa, clara, graphics, building, spans, embodied, lab, presentations, home,

Text of the page (random words):
esentations that can perceive capture reconstruct and generate the 3d world my work spans 3d scene and human reconstruction generative models for objects scenes and videos and data centric methods for training and evaluating embodied intelligence systems previously i received my phd from the max planck eth center for learning systems where i was advised by andreas geiger and luc van gool and i was a postdoctoral researcher at stanford university with leonidas guibas prior to this i did my undergraduate in the school of electrical and computer engineering in the aristotle university of thessaloniki in greece where i worked with anastasios delopoulos and christos diou during my phd i was very lucky to have spent one wonderful year working with sanja fidler at nvidia research and 6 months at facebook ai research where i worked with david novotny and andrea vedaldi news jul 2026 our paper motive received an icml 2026 honorable mention for outstanding paper may 2026 motive is accepted to icml 2026 as an oral presentation jan 2026 area chair for cvpr 2026 and wacv 2026 jan 2026 pasta accepted to 3dv 2026 jan 2025 rematching dynamic reconstruction flow accepted to iclr 2025 jan 2025 area chair for wacv 2025 and 3dv 2025 jan 2024 area chair for eccv 2024 3dv 2024 and wacv 2024 june 2024 i will serve on the program committee for eurographics 2025 may 2024 started a full time role as a senior research scientist at nvidia feb 2024 three papers accepted to cvpr 2024 cad curvecloudnet and multiphys nov 2023 i am very honored to be one of the eecs rising stars 2023 jul 2023 two papers accepted to iccv 2023 copilot and cc3d feb 2023 two papers accepted to cvpr 2023 partnerf and alto feb 2022 i started my postdoc at stanford with prof leonidas guibas show more may 2024 received outstanding reviewer award at cvpr 2024 april 2024 we are organizing the 2nd workshop on ai for 3d content creation the 3d vision and modeling challenges in ecommerce workshop the wild 3d 3d modeling reconstruction and generation in the wild workshop and the opensun3d 3rd workshop on open vocabulary 3d scene understanding workshop at eccv 2024 in milan dec 2023 we are organizing the 1st workshop on ai for 3d generation and the 2nd workshop on open vocabulary 3d scene understanding at cvpr 2024 in seattle jun 2023 we are organizing the 1st workshop on ai for 3d content creation at iccv 2023 in paris may 2023 received outstanding reviewer award at cvpr 2023 may 2023 our paper on 3d aware video generation got accepted to tmlr 2023 feb 2023 we are organizing the second workshop on structural and compositional learning on 3d data at cvpr 2023 in vancouver may 2022 received outstanding reviewer award at cvpr 2022 dec 2021 after 4 wonderful years i successfully defended my phd sep 2021 our paper atiss got accepted in neurips 2021 jun 2021 i am interning at fair in london this summer mar 2021 our paper neural parts got accepted in cvpr 2021 code and pre trained models are available also check out our learned primitives using our cool interactive demo may 2021 received outstanding reviewer award at cvpr 2021 mar 2020 we released simple 3dviz a library for 3d visualization using python and opengl code and documentation are available feb 2020 our paper on unsupervised hierarchical primitive based reconstruction was accepted in cvpr 2020 feb 2020 i am interning at nvidia research in toronto this summer may 2019 we released the pytorch code for our superquadrics revisited learning 3d shape parsing beyond cuboids paper mar 2019 two papers accepted in cvpr 2019 feb 2018 raynet learning volumetric 3d reconstruction with ray potentials was accepted in cvpr 2018 check our project page for code and documentation selected publications nvidia omnidreams real time generative world model for closed loop autonomous vehicle simulation arxiv 2026 aarti basant amlan kar despoina paschalidou fangyin wei francesco ferroni guillermo garcia cobo haithem turki huan ling jaewoo seo james lucas jay zhangjie wu jialiang wang jonathan lorraine jun gao kai he katarina tothova kevin xie michał tyszkiewicz qi wu riccardo de lutio ruilong li sanja fidler seung wook kim tianchang shen tianshi cao tobias pfaff william lew xindi wu xuanchi ren yifan lu yuxuan zhang zan gojcic zian wang abstract project page paper code bibtex as autonomous vehicle capabilities advance the safe evaluation of driving policies in long tail scenarios remains a critical bottleneck in closed loop simulation the driving policy model actively interacts with the environment where its actions dynamically update the simulator state and directly influence the next set of generated sensor observations while recent reconstruction based neural simulators offer photorealism they are fundamentally constrained by their initial captured data and struggle to generalize to highly dynamic or novel scenes to overcome these limitations we introduce omnidreams a foundation generative world model mid and post trained from the cosmos diffusion model to autoregressively generate action conditioned videos in real time by leveraging the rich visual priors of cosmos and mid and post training on 21k hours of driving scenarios omnidreams synthesizes complex unobserved phenomena that are hard for traditional simulators to capture such as extreme weather and unpredictable dynamic agent behaviors crucially it autoregressively conditions its photorealistic sensor generation on past frames the current simulator state and immediate driving actions deployed in a closed loop system with the alpamayo 1 policy model and alpasim orchestrator omnidreams acts as a highly responsive reactive environment providing a scalable and comprehensive solution for training and evaluating next generation autonomous driving policies we additionally show preliminary results indicating that a world action model wam post trained from omnidreams achieves strong performance on the physical ai autonomous vehicles nurec dataset surpassing the vla based alpamayo 1 5 research policy model while using only 1 5 the total parameters these results highlight the potential for a real time world model like omnidreams to also serve as a backbone for policy architectures article basant2026arxiv title nvidia omnidreams real time generative world model for closed loop autonomous vehicle simulation author basant aarti and kar amlan and paschalidou despoina and wei fangyin and ferroni francesco and garcia cobo guillermo and turki haithem and ling huan and seo jaewoo and lucas james and wu jay zhangjie and wang jialiang and lorraine jonathan and gao jun and he kai and tothova katarina and xie kevin and tyszkiewicz micha l and wu qi and de lutio riccardo and li ruilong and fidler sanja and kim seung wook and shen tianchang and cao tianshi and pfaff tobias and lew william and wu xindi and ren xuanchi and lu yifan and zhang yuxuan and gojcic zan and wang zian journal arxiv preprint arxiv 2606 03159 year 2026 motion attribution for video generation international conference on machine learning icml 2026 oral honorable mention for outstanding paper xindi wu despoina paschalidou jun gao antonio torralba laura leal taixé olga russakovsky sanja fidler jonathan lorraine abstract project page paper slides poster video bibtex despite the rapid progress of video generation models the role of data in influencing motion is poorly understood we present motive a motion centric gradient based data attribution framework that scales to modern large high quality video datasets and models and use it to study which fine tuning clips improve or degrade temporal dynamics our approach isolates temporal dynamics from static appearance via motion weighted loss masks yielding efficient and scalable motion specific influence computation on text to video models motive identifies clips that strongly affect motion and guides data curation that improves temporal consistency and physical plausibility with motive selected high influence data our method improves both motion smoothness and dynamic degree on vbench achieving a 74 1 human preference win rate compared with the pretrained base model this represents the first framework to attribute motion rather than visual appearance in video generative models and to use it to curate fine tuning data inproceedings wu2026icml title motion attribution for video generation author wu xindi and paschalidou despoina and gao jun and torralba antonio and leal taix e laura and russakovsky olga and fidler sanja and lorraine jonathan booktitle international conference on machine learning icml year 2026 pasta controllable part aware shape generation with autoregressive transformers international conference on 3d vision 3dv 2026 songlin li despoina paschalidou leonidas guibas abstract paper bibtex the increased demand for tools that automate the 3d content creation process led to tremendous progress in deep generative models that can generate diverse 3d objects of high fidelity in this paper we present pasta an autoregressive transformer architecture for generating high quality 3d shapes pasta comprises two main components an autoregressive transformer that generates objects as a sequence of cuboidal primitives and a blending network implemented with a transformer decoder that composes the sequences of cuboids and synthesizes high quality meshes for each object our model is trained in two stages first we train our autoregressive generative model using only annotated cuboidal parts as supervision and next we train our blending network using explicit 3d supervision in the form of watertight meshes evaluations on various shapenet objects showcase the ability of our model to perform shape generation from diverse inputs e g from scratch from a partial object from text and images as well size guided generation by explicitly conditioning on a bounding box that defines the object s boundaries moreover as our model considers the underlying part based structure of a 3d object we are able to select a specific part and produce shapes with meaningful variations of this part as evidenced by our experiments our model generates 3d shapes that are both more realistic and diverse than existing part based and non part based methods while at the same time is simpler to implement and train inproceedings li20263dv title pasta controllable part aware shape generation with autoregressive transformers author li songlin and paschalidou despoina and guibas leonidas booktitle international conference on 3d vision 3dv year 2026 cosmos world foundation model platform for physical ai arxiv 2025 niket agarwal arslan ali maciej bala yogesh balaji erik barker tiffany cai prithvijit chattopadhyay yongxin chen yin cui yifan ding daniel dworakowski jiaojiao fan michele fenzi francesco ferroni sanja fidler dieter fox songwei ge yunhao ge jinwei gu siddharth gururani ethan he jiahui huang jacob huffman pooya jannaty jingyi jin seung wook kim gergely klár grace lam shiyi lan laura leal taixé anqi li zhaoshuo li chen hsuan lin tsung yi lin huan ling ming yu liu xian liu alice luo qianli ma hanzi mao kaichun mo arsalan mousavian seungjun nah sriharsha niverty david page despoina paschalidou zeeshan patel lindsey pavao morteza ramezanali fitsum reda xiaowei ren vasanth rao naik sabavat ed schmerling stella shi bartosz stefaniak shitao tang lyne tchapmi przemek tredak wei cheng tseng jibin varghese hao wang haoxiang wang heng wang ting chun wang fangyin wei xinyue wei jay zhangjie wu jiashu xu wei yang lin yen chen xiaohui zeng yu zeng jing zhang qinsheng zhang yuxuan zhang qingqing zhao artur zolkowski abstract project page paper code video bibtex physical ai needs to be trained digitally first it needs a digital twin of itself the policy model and a digital twin of the world the world model in this paper we present the cosmos world foundation model platform to help developers build customized world models for their physical ai setups we position a world foundation model as a general purpose world model that can be fine tuned into customized world models for downstream applications our platform covers a video curation pipeline pre trained world foundation models examples of post training of pre trained world foundation models and video tokenizers to help physical ai builders solve the most critical problems of our society we make cosmos open source and our models open weight with permissive licenses article agarwal2025arxiv title cosmos world foundation model platform for physical ai author nvidia and agarwal niket and ali arslan and bala maciej and balaji yogesh and others journal arxiv preprint arxiv 2501 03575 year 2025 cad photorealistic 3d generation via adversarial distillation computer vision and pattern recognition cvpr 2024 ziyu wan despoina paschalidou ian huang hongyu liu bokui shen xiaoyu xiang jing liao leonidas guibas abstract project page paper code video bibtex the increased demand for 3d data in ar vr robotics and gaming applications gave rise to powerful generative pipelines capable of synthesizing high quality 3d objects most of these models rely on the score distillation sampling sds algorithm to optimize a 3d representation such that the rendered image maintains a high likelihood as evaluated by a pre trained diffusion model however finding a correct mode in the high dimensional distribution produced by the diffusion model is challenging and often leads to issues such as over saturation over smoothing and janus like artifacts in this paper we propose a novel learning paradigm for 3d synthesis that utilizes pre trained diffusion models instead of focusing on mode seeking our method directly models the distribution discrepancy between multi view renderings and diffusion priors in an adversarial manner which unlocks the generation of high fidelity and photorealistic 3d content conditioned on a single image and prompt moreover by harnessing the latent space of gans and expressive diffusion model priors our method facilitates a wide variety of 3d applications including single view reconstruction high diversity generation and continuous 3d interpolation in the open domain the experiments demonstrate the superiority of our pipeline compared to previous works in terms of generation quality and diversity inproceedings wan2024cvpr title cad photorealistic 3d generation via adversarial distillation author wan ziyu and paschalidou despoina and huang ian and liu hongyu and shen bokui and xiang xiaoyu and liao jing and guibas leonidas booktitle proceedings ieee conf on computer vision and pattern recognition cvpr year 2024 curvecloudnet processing point clouds with 1d structure computer vision and pattern recognition cvpr 2024 colton stearns davis rempe alex fu jiateng liu sébastien mascha jeong joon park despoina paschalidou leonidas guibas abstract paper bibtex modern depth sensors such as lidar operate by sweeping laser beams across the scene resulting in a point cloud with notable 1d curve like structures in this work we introdu...