ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.08072
  4. Cited By
Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view
  Human Reconstruction

Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction

15 June 2020
Tong He
John Collomosse
Hailin Jin
Stefano Soatto
    3DH
ArXivPDFHTML

Papers citing "Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction"

3 / 103 papers shown
Title
D$^2$IM-Net: Learning Detail Disentangled Implicit Fields from Single
  Images
D2^22IM-Net: Learning Detail Disentangled Implicit Fields from Single Images
Manyi Li
Hao Zhang
3DV
28
45
0
11 Dec 2020
PeeledHuman: Robust Shape Representation for Textured 3D Human Body
  Reconstruction
PeeledHuman: Robust Shape Representation for Textured 3D Human Body Reconstruction
Sai Sagar Jinka
R. Chacko
Avinash Sharma
P. J. Narayanan
3DH
25
1
0
16 Feb 2020
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
180
1,941
0
24 Oct 2016
Previous
123