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malik i ve received the pami young researcher award email cv bio scholar twitter github research i m interested in computer vision deep learning generative ai and image processing most of my research is about inferring the physical world shape motion color light etc from images usually with radiance fields some papers are highlighted image generators are generalist vision learners valentin gabeur shangbang long songyou peng paul voigtlaender shuyang sun yanan bao karen truong zhicheng wang wenlei zhou jonathan t barron kyle genova nithish kannen sherry ben yandong li mandy guo suhas yogin yiming gu huizhong chen oliver wang saining xie howard zhou kaiming he thomas funkhouser jean baptiste alayrac radu soricut arxiv 2026 project page arxiv reducing monodepth normals and semantic segmentation tasks to a single rgb image prediction task and fine tuning an image generator nano banana pro beats or matches specialized models your browser does not support the video tag gr3en generative relighting for 3d environments xiaoyan xing philipp henzler junhwa hur runze li jonathan t barron pratul p srinivasan dor verbin siggraph 2026 project page arxiv distilling the outputs of a video to video relighting diffusion model into a 3d reconstruction enables controllable 3d relighting of room scale scenes your browser does not support the video tag zipmap linear time stateful 3d reconstruction via test time training haian jin rundi wu tianyuan zhang ruiqi gao jonathan t barron noah snavely aleksander hołyński cvpr 2026 project page arxiv code test time training lets you quickly compress an entire image collection into a compact model and thereby achieve linear time 3d reconstruction radiance meshes for volumetric reconstruction alexander mai trevor hedstrom george kopanas janne kontkanen falko kuester jonathan t barron cvpr 2026 nbsp highlight project page arxiv parameterizing a scene with a delaunay tetrahedralization and a neural field yields a scene representation that is accurate fast to render easy to edit and backwards compatible nexf learning neural exposure fields for view synthesis michael niemeyer fabian manhardt marie julie rakotosaona michael oechsle christina tsalicoglou keisuke tateno jonathan t barron federico tombari neurips 2025 project page arxiv learning a neural field that optimizes exposure for each 3d point enables high quality 3d consistent view synthesis despite extreme exposure variation during capture your browser does not support the video tag bolt3d generating 3d scenes in seconds stanislaw szymanowicz jason y zhang pratul srinivasan ruiqi gao arthur brussee aleksander holynski ricardo martin brualla jonathan t barron philipp henzler iccv 2025 project page arxiv by training a latent diffusion model to directly output 3d gaussians we enable fast 6 seconds on a single gpu feed forward 3d scene generation ever exact volumetric ellipsoid rendering for real time view synthesis alexander mai peter hedman george kopanas dor verbin david futschik qiangeng xu falko kuester jonathan t barron yinda zhang iccv 2025 nbsp oral presentation project page arxiv raytracing constant density ellipsoids yields more accurate and flexible radiance fields than splatting gaussians and still runs in real time your browser does not support the video tag cat4d create anything in 4d with multi view video diffusion models rundi wu ruiqi gao ben poole alex trevithick changxi zheng jonathan t barron aleksander holynski cvpr 2025 nbsp oral presentation project page arxiv an approach for turning a video into a 4d radiance field that can be rendered in real time when combined with a text to video model this enables text to 4d your browser does not support the video tag generative multiview relighting for 3d reconstruction under extreme illumination variation hadi alzayer philipp henzler jonathan t barron jia bin huang pratul p srinivasan dor verbin cvpr 2025 nbsp highlight project page arxiv images taken under extreme illumination variation can be made consistent with diffusion and this enables high quality 3d reconstruction your browser does not support the video tag simvs simulating world inconsistencies for robust view synthesis alex trevithick roni paiss philipp henzler dor verbin rundi wu hadi alzayer ruiqi gao ben poole jonathan t barron aleksander holynski ravi ramamoorthi pratul p srinivasan cvpr 2025 project page arxiv simulating the world with video models lets you make inconsistent captures consistent your browser does not support the video tag a power transform jonathan t barron arxiv 2025 tweet arxiv a slight tweak to the box cox power transform generalizes a variety of curves losses kernel functions probability distributions bump functions and neural network activation functions your browser does not support the video tag cat3d create anything in 3d with multi view diffusion models ruiqi gao aleksander holynski philipp henzler arthur brussee ricardo martin brualla pratul p srinivasan jonathan t barron ben poole neurips 2024 nbsp oral presentation project page arxiv a single model built around diffusion and nerf that does text to 3d image to 3d and few view reconstruction trains in 1 minute and renders at 60fps in a browser your browser does not support the video tag nerf casting improved view dependent appearance with consistent reflections dor verbin pratul srinivasan peter hedman benjamin attal ben mildenhall richard szeliski jonathan t barron siggraph asia 2024 project page arxiv carefully casting reflection rays lets us synthesize photorealistic specularities in real world scenes your browser does not support the video tag flash cache reducing bias in radiance cache based inverse rendering benjamin attal dor verbin ben mildenhall peter hedman jonathan t barron matthew o toole pratul p srinivasan eccv 2024 nbsp oral presentation project page arxiv a more physically accurate inverse rendering system based on radiance caching for recovering geometry materials and lighting from rgb images of an object or scene your browser does not support the video tag nuvo neural uv mapping for unruly 3d representations pratul srinivasan stephan j garbin dor verbin jonathan t barron ben mildenhall eccv 2024 project page video arxiv neural fields let you recover editable uv mappings for the challenging geometries produced by nerf like models your browser does not support the video tag binary opacity grids capturing fine geometric detail for mesh based view synthesis christian reiser stephan j garbin pratul srinivasan dor verbin richard szeliski ben mildenhall jonathan t barron peter hedman andreas geiger siggraph 2024 project page video arxiv applying anti aliasing to a discrete opacity grid lets you render a hard representation into a soft image and this enables highly detailed mesh recovery your browser does not support the video tag smerf streamable memory efficient radiance fields for real time large scene exploration daniel duckworth peter hedman christian reiser peter zhizhin jean françois thibert mario lučić richard szeliski jonathan t barron siggraph 2024 nbsp honorable mention project page video arxiv distilling a zip nerf into a tiled set of merfs lets you fly through radiance fields on laptops and smartphones at 60 fps your browser does not support the video tag eclipse disambiguating illumination and materials using unintended shadows dor verbin ben mildenhall peter hedman jonathan t barron todd zickler pratul srinivasan cvpr 2024 nbsp oral presentation project page video arxiv shadows cast by unobserved occluders provide a high frequency cue for recovering illumination and materials your browser does not support the video tag reconfusion 3d reconstruction with diffusion priors rundi wu ben mildenhall philipp henzler keunhong park ruiqi gao daniel watson pratul p srinivasan dor verbin jonathan t barron ben poole aleksander holynski cvpr 2024 project page arxiv using a multi image diffusion model as a regularizer lets you recover high quality radiance fields from just a handful of images your browser does not support the video tag shinobi shape and illumination using neural object decomposition via brdf optimization in the wild andreas engelhardt amit raj mark boss yunzhi zhang abhishek kar yuanzhen li deqing sun ricardo martin brualla jonathan t barron hendrik p a lensch varun jampani cvpr 2024 project page video arxiv a class agnostic inverse rendering solution for turning in the wild images of an object into a relightable 3d asset internerf scaling radiance fields via parameter interpolation clinton wang peter hedman polina golland jonathan t barron daniel duckworth cvpr neural rendering intelligence 2024 arxiv parameter interpolation enables high quality large scale scene reconstruction and out of core training and rendering your browser does not support the video tag state of the art on diffusion models for visual computing ryan po wang yifan vladislav golyanik kfir aberman jonathan t barron amit h bermano eric ryan chan tali dekel aleksander holynski angjoo kanazawa c karen liu lingjie liu ben mildenhall matthias nießner björn ommer christian theobalt peter wonka gordon wetzstein eurographics state of the art report 2024 a survey of recent progress in diffusion models for images videos and 3d your browser does not support the video tag camp camera preconditioning for neural radiance fields keunhong park philipp henzler ben mildenhall jonathan t barron ricardo martin brualla siggraph asia 2023 project page arxiv preconditioning based on camera parameterization helps nerf and camera extrinsics intrinsics optimize better together your browser does not support the video tag zip nerf anti aliased grid based neural radiance fields jonathan t barron ben mildenhall dor verbin pratul srinivasan peter hedman iccv 2023 nbsp oral presentation best paper finalist project page video arxiv combining mip nerf 360 and grid based models like instant ngp lets us reduce error rates by 8 77 and accelerate training by 24x your browser does not support the video tag dreambooth3d subject driven text to 3d generation amit raj srinivas kaza ben poole michael niemeyer nataniel ruiz ben mildenhall shiran zada kfir aberman michael rubinstein jonathan t barron yuanzhen li varun jampani iccv 2023 project page arxiv combining dreambooth personalized text to image and dreamfusion text to 3d yields high quality subject specific 3d assets with text driven modifications your browser does not support the video tag bakedsdf meshing neural sdfs for real time view synthesis lior yariv peter hedman christian reiser dor verbin pratul srinivasan richard szeliski jonathan t barron ben mildenhall siggraph 2023 project page video arxiv we use sdfs to bake a nerf like model into a high quality mesh and do real time view synthesis your browser does not support the video tag merf memory efficient radiance fields for real time view synthesis in unbounded scenes christian reiser richard szeliski dor verbin pratul srinivasan ben mildenhall andreas geiger jonathan t barron peter hedman siggraph 2023 project page video arxiv we use volumetric rendering with a sparse 3d feature grid and 2d feature planes to do real time view synthesis alignerf high fidelity neural radiance fields via alignment aware training yifan jiang peter hedman ben mildenhall dejia xu jonathan t barron zhangyang wang tianfan xue cvpr 2023 project page arxiv accounting for misalignment due to scene motion or calibration errors improves nerf reconstruction quality your browser does not support the video tag dreamfusion text to 3d using 2d diffusion ben poole ajay jain jonathan t barron ben mildenhall iclr 2023 nbsp oral presentation outstanding paper award project page arxiv gallery we optimize a nerf from scratch using a pretrained text to image diffusion model to do text to 3d generative modeling learning a diffusion prior for nerfs guandao yang abhijit kundu leonidas j guibas jonathan t barron ben poole iclr workshop 2023 training a diffusion model on grid based nerfs lets you conditionally sample nerfs mira mental imagery for robotic affordances lin yen chen pete florence andy zeng jonathan t barron yilun du wei chiu ma anthony simeonov alberto rodriguez phillip isola corl 2022 nerf lets us synthesize novel orthographic views that work well with pixel wise algorithms for robotic manipulation samurai shape and material from unconstrained real world arbitrary image collections mark boss andreas engelhardt abhishek kar yuanzhen li deqing sun jonathan t barron hendrik p a lensch varun jampani neurips 2022 project page video arxiv a joint optimization framework for estimating shape brdf camera pose and illumination from in the wild image collections polynomial neural fields for subband decomposition guandao yang sagie benaim varun jampani kyle genova jonathan t barron thomas funkhouser bharath hariharan serge belongie neurips 2022 representing neural fields as a composition of manipulable and interpretable components lets you do things like reason about frequencies and scale fast and high quality image denoising via malleable convolutions yifan jiang bartlomiej wronski ben mildenhall jonathan t barron zhangyang wang tianfan xue eccv 2022 project page arxiv we denoise images efficiently by predicting spatially varying kernels at low resolution and using a fast fused op to jointly upsample and apply these kernels at full resolution your browser does not support the video tag nerf supervision learning dense object descriptors from neural radiance fields lin yen chen pete florence jonathan t barron tsung yi lin alberto rodriguez phillip isola icra 2022 project page arxiv video code colab nerf works better than rgb d cameras or multi view stereo when learning object descriptors your browser does not support the video tag ref nerf structured view dependent appearance for neural radiance fields dor verbin peter hedman ben mildenhall todd zickler jonathan t barron pratul srinivasan cvpr 2022 nbsp oral presentation best student paper honorable mention project page arxiv video explicitly modeling reflections in nerf produces realistic shiny surfaces and accurate surface normals and lets you edit materials your browser does not support the video tag mip nerf 360 unbounded anti aliased neural radiance fields jonathan t barron ben mildenhall dor verbin pratul srinivasan peter hedman cvpr 2022 nbsp oral presentation project page arxiv video mip nerf can be extended to produce realistic results on unbounded scenes your browser does not support the video tag nerf in the dark high dynamic range view synthesis from noisy raw images ben mildenhall peter hedman ricardo martin brualla pratul srinivasan jonathan t barron cvpr 2022 nbsp oral presentation project page arxiv video properly training nerf on raw camera data enables hdr view synthesis and bokeh and outperforms multi image denoising your browser does not support the video tag regnerf regularizing neural radiance fields for view synthesis from sparse inputs michael nie...