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rundi wu rundi wu 吴润迪 i m a research scientist at google deepmind in san francisco i received my phd from columbia university under the supervision of changxi zheng before that i obtained my b s degree in 2020 from turing class peking university where i was fortunate to work with baoquan chen i interned at tencent america in summer 2022 at google research in summer 2023 and at google deepmind in summer 2024 email nbsp nbsp cv nbsp nbsp github nbsp nbsp google scholar nbsp nbsp linkedin research 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 linear time feed forward 3d reconstruction via test time training your browser does not support the video tag spatiotemporally consistent indoor lighting estimation with diffusion priors mutian tong rundi wu changxi zheng siggraph 2025 project page paper code recovering dynamic indoor lighting from a video by learning a light field with from a 2d diffusion model 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 oral project page paper transforming real or generated videos to 4d scenes with a multi view diffusion model 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 paper using video models to simulate scene variations and training a multiview diffusion model to harmonize inconsistent captures vlmaterial procedural material generation with large vision language models beichen li rundi wu armando solar lezama liang shi changxi zheng bernd bickel wojciech matusik iclr 2025 spotlight paper code leveraging a vision language model to infer procedural materials from input images your browser does not support the video tag generative camera dolly extreme monocular dynamic novel view synthesis basile van hoorick rundi wu ege ozguroglu kyle sargent ruoshi liu pavel tokmakov achal dave changxi zheng carl vondrick eccv 2024 oral project page github paper a video to video model that synthesizes large angle novel viewpoints of dynamic scenes your browser does not support the video tag physdreamer physics based interaction with 3d objects via video generation tianyuan zhang hong xing koven yu rundi wu brandon y feng changxi zheng noah snavely jiajun wu william t freeman eccv 2024 oral project page github paper enabling interaction with static 3d objects by distilling material parameters from video generation models 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 building a multi view conditioned diffusion model and using it as a prior to regularize radiance field reconstruction from only a few images sin3dm learning a diffusion model from a single 3d textured shape rundi wu ruoshi liu carl vondrick changxi zheng iclr 2024 project page paper code a diffusion model trained on a single 3d textured shape enabling generating diverse high quality variations of it zero 1 to 3 zero shot one image to 3d object ruoshi liu rundi wu basile van hoorick pavel tokmakov sergey zakharov carl vondrick iccv 2023 project page paper code demo finetuning the stable diffusion model on synthetic 3d data to enable zero shot novel view synthesis from a single image of an object implicit neural spatial representations for time dependent pdes honglin chen rundi wu eitan grinspun changxi zheng peter yichen chen icml 2023 project page paper code solving time dependent pdes by evolving an implicit neural spatial representation over time your browser does not support the video tag learning to generate 3d shapes from a single example rundi wu changxi zheng siggraph asia 2022 journal track project page paper code video training a multi scale patch gan on a single example to generate 3d shapes that locally resemble the input dynamic sliding window for realtime denoising networks jinxu xiang yuyang zhu rundi wu ruilin xu yuko ishiwaka changxi zheng icassp 2022 paper a realtime speech denoising system with a dynamic sliding window deepcad a deep generative network for computer aided design models rundi wu chang xiao changxi zheng iccv 2021 project page paper code using transformers to encode and decode parametric cad modeling sequences listening to sounds of silence for speech denoising ruilin xu rundi wu yuko ishiwaka carl vondrick changxi zheng neurips 2020 project page paper code denoising speech signals by recovering noise from silent time periods multimodal shape completion via conditional generative adversarial networks rundi wu xuelin chen yixin zhuang baoquan chen eccv 2020 spotlight project page paper code using conditional gans to complete a partial 3d scan with multiple plausible outputs pq net a generative part seq2seq network for 3d shapes rundi wu yixin zhuang kai xu hao zhang baoquan chen cvpr 2020 paper code slides using a sequence to sequence network to generate 3d shapes via sequential part assembly learning character agnostic motion for motion retargeting in 2d kfir aberman rundi wu dani lischinski baoquan chen daniel cohen or siggraph 2019 project page paper code video transferring the video captured motion from one performer to another by learning a character agnostic motion representation misc i m a great sports fan loving snowboarding f1 basketball baseball soccer i like playing strategy games europa universails iv is my favorite 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