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2012.03196
Cited By
Online Adaptation for Consistent Mesh Reconstruction in the Wild
Neural Information Processing Systems (NeurIPS), 2020
6 December 2020
Xueting Li
Sifei Liu
Shalini De Mello
Kihwan Kim
Xinyu Wang
Ming-Hsuan Yang
Jan Kautz
3DH
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Papers citing
"Online Adaptation for Consistent Mesh Reconstruction in the Wild"
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals
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S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video
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Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Dynamic Scenes
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TexRO: Generating Delicate Textures of 3D Models by Recursive Optimization
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261
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22 Mar 2024
Learning Implicit Representation for Reconstructing Articulated Objects
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Ponymation: Learning 3D Animal Motions from Unlabeled Online Videos
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DreaMo: Articulated 3D Reconstruction From A Single Casual Video
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485
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Christian Theobalt
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MFT: Long-Term Tracking of Every Pixel
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Reconstructing Animatable Categories from Videos
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MoDA: Modeling Deformable 3D Objects from Casual Videos
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CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos
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A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
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Self-supervised learning of object pose estimation using keypoint prediction
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Unsupervised Volumetric Animation
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Aliaksandr Siarohin
Willi Menapace
Ivan Skorokhodov
Kyle Olszewski
Jian Ren
Hsin-Ying Lee
Menglei Chai
Sergey Tulyakov
235
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26 Jan 2023
Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble
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Chunfeng Yao
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Varun Jampani
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304
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MagicPony: Learning Articulated 3D Animals in the Wild
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Shangzhe Wu
Ruining Li
Tomas Jakab
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Andrea Vedaldi
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442
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CASA: Category-agnostic Skeletal Animal Reconstruction
Neural Information Processing Systems (NeurIPS), 2022
Yuefan Wu
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293
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A new benchmark for group distribution shifts in hand grasp regression for object manipulation. Can meta-learning raise the bar?
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State of the Art in Dense Monocular Non-Rigid 3D Reconstruction
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Navami Kairanda
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Adam Kortylewski
Bernhard Egger
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Pascal Fua
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Vladislav Golyanik
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291
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Fine Detailed Texture Learning for 3D Meshes with Generative Models
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Aysegül Dündar
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Andrew Tao
Bryan Catanzaro
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390
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De-rendering 3D Objects in the Wild
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375
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Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesis
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375
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BANMo: Building Animatable 3D Neural Models from Many Casual Videos
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Minh Vo
Natalia Neverova
Deva Ramanan
Andrea Vedaldi
Hanbyul Joo
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471
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Multi-Category Mesh Reconstruction From Image Collections
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S. Pini
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148
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Self-Supervised Object Detection via Generative Image Synthesis
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296
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NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild
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Learning Canonical 3D Object Representation for Fine-Grained Recognition
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Sunghun Joung
Seungryong Kim
Minsu Kim
Ig-Jae Kim
Kwanghoon Sohn
243
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DOVE: Learning Deformable 3D Objects by Watching Videos
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Tomas Jakab
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449
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StrobeNet: Category-Level Multiview Reconstruction of Articulated Objects
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Leonidas Guibas
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Deqing Sun
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Forrester Cole
Huiwen Chang
Deva Ramanan
William T. Freeman
Ce Liu
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06 May 2021
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation
IEEE International Conference on Computer Vision (ICCV), 2021
Jiteng Mu
Weichao Qiu
Adam Kortylewski
Alan Yuille
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365
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DeepCap: Monocular Human Performance Capture Using Weak Supervision
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Marc Habermann
Weipeng Xu
Michael Zollhoefer
Gerard Pons-Moll
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446
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Computer Vision and Pattern Recognition (CVPR), 2019
Shangzhe Wu
Christian Rupprecht
Andrea Vedaldi
OCL
473
334
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25 Nov 2019
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