Deva Ramanan - Reconstructing Deformable Objects from Monocular Videos_哔哩哔哩_bilibili

Name: Deva Ramanan - Reconstructing Deformable Objects from Monocular Videos
Uploaded: 2022-11-13T20:11:37.000Z
Duration: 33 min 31 s
Channel: ShangzheWu
Description: ECCV22 Workshop on Neural Geometry and Rendering Website: https://ngr-co3d.github.io/ Organizers: David Novotny, Shangzhe Wu, Roman Shapovalov, Samarth Sinha, Luca Sbordone, Natalia Neverova, Andrea Vedaldi, Jitendra Malik

ShangzheWu

ECCV22 Workshop on Neural Geometry and RenderingWebsite: https://ngr-co3d.github.io/Organizers: David Novotny, Shangzhe Wu, Roman Shapovalov, Samarth Sinha, Luca Sbordone, Natalia Neverova, Andrea Ved, 视频播放量 99、弹幕量 0、点赞数 0、投硬币枚数 0、收藏人数 1、转发人数 0, 视频作者 ShangzheWu, 作者简介 Assistant Professor at the University of Cambridge，相关视频：Christian Rupprecht - (De)-Rendering 3D Objects in the Wild，Thomas Müller - Instant Neural Graphics Primitives，Shangzhe Wu - Learning 3D Objects in the Wild，ICCV21 Workshop on Unsup3D: Unsupervised 3D Learning in the Wild，Angjoo Kanazawa - Dynamic View Synthesis: A Reality Check，David Novotny - Opening and the CO3D Challenge，Panel Discussion，Niloy Mitra - Learning Dense Surface-Surface Maps，Ben Mildenhall - Modeling Light for View Synthesis，Zhizhuo Zhou - CO3D Few-view Winner Presentation