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Implicit Mesh Reconstruction from Unannotated Image Collections

Implicit Mesh Reconstruction from Unannotated Image Collections

16 July 2020
Shubham Tulsiani
Nilesh Kulkarni
Abhinav Gupta
    3DH
    3DV
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Papers citing "Implicit Mesh Reconstruction from Unannotated Image Collections"

14 / 14 papers shown
Title
Learning Implicit Representation for Reconstructing Articulated Objects
Learning Implicit Representation for Reconstructing Articulated Objects
Hao Zhang
Fang Li
Samyak Rawlekar
Narendra Ahuja
32
4
0
16 Jan 2024
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for
  Controllable Sensor Simulation
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation
Jingkang Wang
S. Manivasagam
Yun Chen
Ze Yang
Ioan Andrei Bârsan
A. Yang
Wei-Chiu Ma
R. Urtasun
3DV
35
24
0
02 Nov 2023
Sparse 3D Reconstruction via Object-Centric Ray Sampling
Sparse 3D Reconstruction via Object-Centric Ray Sampling
L. Cerkezi
Paolo Favaro
34
4
0
06 Sep 2023
Reconstructing Animatable Categories from Videos
Reconstructing Animatable Categories from Videos
Gengshan Yang
Chaoyang Wang
Dinesh Reddy Narapureddy
Deva Ramanan
28
37
0
10 May 2023
Class-Continuous Conditional Generative Neural Radiance Field
Class-Continuous Conditional Generative Neural Radiance Field
Jiwook Kim
Minhyeok Lee
19
4
0
03 Jan 2023
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable
  Categories
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories
Samarth Sinha
Roman Shapovalov
Jeremy Reizenstein
Ignacio Rocco
Natalia Neverova
Andrea Vedaldi
David Novotny
3DPC
15
16
0
07 Nov 2022
LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D
  Part Discovery
LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery
Chunfeng Yao
Wei-Chih Hung
Yuanzhen Li
Michael Rubinstein
Ming Yang
Varun Jampani
3DV
26
47
0
07 Jul 2022
Recovering Detail in 3D Shapes Using Disparity Maps
Recovering Detail in 3D Shapes Using Disparity Maps
Marissa Ramirez de Chanlatte
Matheus Gadelha
Thibault Groueix
R. Měch
26
0
0
01 Jul 2022
Pre-train, Self-train, Distill: A simple recipe for Supersizing 3D
  Reconstruction
Pre-train, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction
Kalyan Vasudev Alwala
Abhinav Gupta
Shubham Tulsiani
32
30
0
07 Apr 2022
BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed
  Information
BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed Information
Nadine Rueegg
Silvia Zuffi
Konrad Schindler
Michael J. Black
19
40
0
29 Mar 2022
GAN-Supervised Dense Visual Alignment
GAN-Supervised Dense Visual Alignment
William S. Peebles
Jun-Yan Zhu
Richard Y. Zhang
Antonio Torralba
Alexei A. Efros
Eli Shechtman
19
67
0
09 Dec 2021
A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware
  Image Synthesis
A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis
Xingang Pan
Xudong Xu
Chen Change Loy
Christian Theobalt
Bo Dai
3DH
39
87
0
29 Oct 2021
Differentiable Stereopsis: Meshes from multiple views using
  differentiable rendering
Differentiable Stereopsis: Meshes from multiple views using differentiable rendering
Shubham Goel
Georgia Gkioxari
Jitendra Malik
3DV
25
24
0
11 Oct 2021
DOVE: Learning Deformable 3D Objects by Watching Videos
DOVE: Learning Deformable 3D Objects by Watching Videos
Shangzhe Wu
Tomas Jakab
Christian Rupprecht
Andrea Vedaldi
3DH
28
60
0
22 Jul 2021
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