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. 1610.07584
  4. Cited By
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

24 October 2016
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
    GAN
ArXivPDFHTML

Papers citing "Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling"

4 / 4 papers shown
Title
Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation
Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation
Shivam Duggal
Yushi Hu
Oscar Michel
Aniruddha Kembhavi
William T. Freeman
Noah A. Smith
Ranjay Krishna
Antonio Torralba
Ali Farhadi
Wei-Chiu Ma
EGVM
ELM
47
0
0
25 Apr 2025
MASH: Masked Anchored SpHerical Distances for 3D Shape Representation and Generation
MASH: Masked Anchored SpHerical Distances for 3D Shape Representation and Generation
Changhao Li
Yu Xin
Xiaowei Zhou
Ariel Shamir
Hao Zhang
Ligang Liu
R. Hu
27
0
0
12 Apr 2025
Don't Mesh with Me: Generating Constructive Solid Geometry Instead of Meshes by Fine-Tuning a Code-Generation LLM
Don't Mesh with Me: Generating Constructive Solid Geometry Instead of Meshes by Fine-Tuning a Code-Generation LLM
Maximilian Mews
Ansar Aynetdinov
Vivian Schiller
Peter Eisert
Alan Akbik
3DV
AI4CE
71
0
0
22 Nov 2024
Part-aware Shape Generation with Latent 3D Diffusion of Neural Voxel Fields
Part-aware Shape Generation with Latent 3D Diffusion of Neural Voxel Fields
Yuhang Huang
SHilong Zou
Xinwang Liu
K. Xu
DiffM
28
0
0
02 May 2024
1