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DynIBaR: Neural Dynamic Image-Based Rendering


Nov 28, 2022
Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, Noah Snavely

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* Project page: dynibar.github.io 

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SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow


Nov 25, 2022
Itai Lang, Dror Aiger, Forrester Cole, Shai Avidan, Michael Rubinstein

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D$^2$NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video


Jun 01, 2022
Tianhao Wu, Fangcheng Zhong, Andrea Tagliasacchi, Forrester Cole, Cengiz Oztireli

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Learning 3D Semantic Segmentation with only 2D Image Supervision


Oct 21, 2021
Kyle Genova, Xiaoqi Yin, Abhijit Kundu, Caroline Pantofaru, Forrester Cole, Avneesh Sud, Brian Brewington, Brian Shucker, Thomas Funkhouser

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* Accepted to 3DV 2021 (Oral) 

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Differentiable Surface Rendering via Non-Differentiable Sampling


Aug 10, 2021
Forrester Cole, Kyle Genova, Avneesh Sud, Daniel Vlasic, Zhoutong Zhang

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* Accepted to ICCV 2021 

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Consistent Depth of Moving Objects in Video


Aug 02, 2021
Zhoutong Zhang, Forrester Cole, Richard Tucker, William T. Freeman, Tali Dekel

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* ACM Trans. Graph., Vol. 40, No. 4, Article 148, August 2021 
* Published at SIGGRAPH 2021 

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Omnimatte: Associating Objects and Their Effects in Video


May 14, 2021
Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein

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* Accepted to CVPR 2021 Oral. Project webpage: https://omnimatte.github.io/ 

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LASR: Learning Articulated Shape Reconstruction from a Monocular Video


May 06, 2021
Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu

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* CVPR 2021. Project page: https://lasr-google.github.io/ 

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Layered Neural Rendering for Retiming People in Video


Sep 16, 2020
Erika Lu, Forrester Cole, Tali Dekel, Weidi Xie, Andrew Zisserman, David Salesin, William T. Freeman, Michael Rubinstein

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* To appear in SIGGRAPH Asia 2020. Project webpage: https://retiming.github.io/ 

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