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. 2211.16677
  4. Cited By
3D Neural Field Generation using Triplane Diffusion

3D Neural Field Generation using Triplane Diffusion

30 November 2022
J. Shue
E. R. Chan
Ryan Po
Zachary Ankner
Jiajun Wu
Gordon Wetzstein
    DiffM
ArXiv (abs)PDFHTML

Papers citing "3D Neural Field Generation using Triplane Diffusion"

6 / 206 papers shown
Title
3DShape2VecSet: A 3D Shape Representation for Neural Fields and
  Generative Diffusion Models
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models
Biao Zhang
Jiapeng Tang
Matthias Niessner
Peter Wonka
DiffM
178
221
0
26 Jan 2023
SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene
SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene
Minjung Son
Jeong Joon Park
Leonidas Guibas
Gordon Wetzstein
75
12
0
30 Nov 2022
TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation
TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation
Nikolai Kalischek
T. Peters
Jan Dirk Wegner
Konrad Schindler
DiffM
65
12
0
23 Nov 2022
Deep Generative Models on 3D Representations: A Survey
Deep Generative Models on 3D Representations: A Survey
Zifan Shi
Sida Peng
Yinghao Xu
Andreas Geiger
Yiyi Liao
Yujun Shen
MedIm3DV
102
0
0
27 Oct 2022
A Survey on Generative Diffusion Model
A Survey on Generative Diffusion Model
Hanqun Cao
Cheng Tan
Zhangyang Gao
Yilun Xu
Guangyong Chen
Pheng-Ann Heng
Stan Z. Li
MedIm
326
239
0
06 Sep 2022
SAL: Sign Agnostic Learning of Shapes from Raw Data
SAL: Sign Agnostic Learning of Shapes from Raw Data
Matan Atzmon
Y. Lipman
3DPCFedML
170
514
0
23 Nov 2019
Previous
12345