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and (13), from (8), jeff (8), tan (8), nbsp (8), website (7), github (7), deva (7), ramanan (7), monocular (5), for (4), reconstruction (4), video (4), arxiv (4), teaching (3), assistant (3), 2023 (3), gengshan (3), yang (3), real (3), with (3), 2025 (3), shubham (3), tulsiani (3), view (3), scene (3), the (3), wang (3), research (3), s23 (2), f21 (2), computer (2), based (2), rendering (2), humans (2), scenes (2), videos (2), neehar (2), peri (2), learn (2), time (2), shape (2), distilling (2), cvpr (2), reconstruct (2), human (2), diffusion (2), geometry (2), zhao (2), via (2), sparse (2), zihan (2), vision (2), robotics (2), stanford (2), university (2), advised (2), prof (2), credits, this, template, jon, barron, 468, s24, 418, s22, 213, introduction, systems, parallel, computation, physics, misc, python, library, animals, alex, lyons, lab4d, projects, feed, forward, pose, predictors, knowledge, offline, differentiable, optimizers, paper, neural, fields, articulated, single, loose, clothing, interacting, objects, using, hierarchical, deformation, field, image, priors, 3dv, oral, donglai, xiang, dressrecon, freeform, set, multi, images, denoising, model, that, outputs, cameras, global, frame, jason, zhang, amy, lin, qitao, diffusionsfm, predicting, structure, motion, ray, origin, endpoint, dynamic, centric, playing, piano, bicycle, repair, iccv, tarasha, khurana, monofusion, fusion, recover, high, quality, simulatable, internet, humanoid, sim, within, complex, terrains, iclr, 2026, jessica, hodgins, yiwen, jiashun, crisp, contact, guided, real2sim, planar, primitives, twitter, email, google, scholar, interested, its, intersection, physical, simulation, generative, hello, first, year, phd, student, fortunate, previously, completed, undergrad, supported, nsf, graduate, fellowship, carnegie, mellon, learning, lab, jiajun,


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jeff tan jeff tan hello i am a first year cs phd student at stanford university fortunate to be advised by prof jiajun wu in the stanford vision and learning lab previously i completed my ms in robotics and undergrad in cs at carnegie mellon university advised by prof deva ramanan my research is supported by the nsf graduate research fellowship 2023 i am interested in 3d 4d computer vision and its intersection with robotics physical simulation and generative ai cv nbsp nbsp google scholar nbsp nbsp github nbsp nbsp email nbsp nbsp twitter research crisp contact guided real2sim from monocular video with planar scene primitives zihan wang jiashun wang jeff tan yiwen zhao jessica hodgins shubham tulsiani deva ramanan iclr 2026 website arxiv github we recover high quality and simulatable scene geometry from internet videos for humanoid real to sim within complex terrains monofusion sparse view 4d reconstruction via monocular fusion zihan wang jeff tan tarasha khurana neehar peri deva ramanan iccv 2025 website arxiv github we reconstruct dynamic 4d human centric scenes e g playing the piano and bicycle repair from sparse view video diffusionsfm predicting structure and motion via ray origin and endpoint diffusion qitao zhao amy lin jeff tan jason y zhang deva ramanan shubham tulsiani cvpr 2025 website arxiv github from a set of multi view images we learn a denoising diffusion model that outputs scene geometry and cameras in global frame dressrecon freeform 4d human reconstruction from monocular video jeff tan donglai xiang shubham tulsiani deva ramanan gengshan yang 3dv 2025 oral website arxiv github from a single monocular video we reconstruct humans in loose clothing and interacting with objects using a hierarchical deformation field and image based priors distilling neural fields for real time articulated shape reconstruction jeff tan gengshan yang deva ramanan cvpr 2023 website paper github we learn real time feed forward pose and shape predictors by distilling knowledge from offline differentiable rendering optimizers projects lab4d gengshan yang jeff tan alex lyons neehar peri deva ramanan 2023 website github a python library for 4d reconstruction of humans animals and scenes from monocular videos misc teaching assistant physics based rendering 15 468 s23 s24 teaching assistant parallel computation 15 418 f21 s22 s23 teaching assistant introduction to computer systems 15 213 f21 credits to jon barron for this website s template
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