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Discovering Relationships between Object Categories via Universal
  Canonical Maps

Discovering Relationships between Object Categories via Universal Canonical Maps

17 June 2021
Natalia Neverova
A. Sanakoyeu
Patrick Labatut
David Novotny
Andrea Vedaldi
ArXivPDFHTML

Papers citing "Discovering Relationships between Object Categories via Universal Canonical Maps"

5 / 5 papers shown
Title
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
BodyMap: Learning Full-Body Dense Correspondence Map
BodyMap: Learning Full-Body Dense Correspondence Map
A. Ianina
N. Sarafianos
Yuanlu Xu
Ignacio Rocco
Tony Tung
3DH
22
14
0
18 May 2022
GaussiGAN: Controllable Image Synthesis with 3D Gaussians from Unposed
  Silhouettes
GaussiGAN: Controllable Image Synthesis with 3D Gaussians from Unposed Silhouettes
Youssef A. Mejjati
Isa Milefchik
Aaron Gokaslan
Oliver Wang
K. Kim
James Tompkin
3DV
3DGS
27
5
0
24 Jun 2021
Parsing R-CNN for Instance-Level Human Analysis
Parsing R-CNN for Instance-Level Human Analysis
Lu Yang
Q. Song
Zhihui Wang
Ming Jiang
SSeg
52
121
0
30 Nov 2018
DensePose: Dense Human Pose Estimation In The Wild
DensePose: Dense Human Pose Estimation In The Wild
R. Güler
Natalia Neverova
Iasonas Kokkinos
3DH
177
1,386
0
01 Feb 2018
1