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. 2212.06125
  4. Cited By
Neural Assets: Volumetric Object Capture and Rendering for Interactive
  Environments

Neural Assets: Volumetric Object Capture and Rendering for Interactive Environments

12 December 2022
Aljaz Bozic
Denis Gladkov
Luke Doukakis
Christoph Lassner
    3DH
ArXivPDFHTML

Papers citing "Neural Assets: Volumetric Object Capture and Rendering for Interactive Environments"

4 / 4 papers shown
Title
MaterialFusion: Enhancing Inverse Rendering with Material Diffusion Priors
MaterialFusion: Enhancing Inverse Rendering with Material Diffusion Priors
Yehonathan Litman
Or Patashnik
Kangle Deng
Aviral Agrawal
Rushikesh Zawar
Fernando de la Torre
Shubham Tulsiani
24
5
0
23 Sep 2024
Decomposing NeRF for Editing via Feature Field Distillation
Decomposing NeRF for Editing via Feature Field Distillation
Sosuke Kobayashi
Eiichi Matsumoto
Vincent Sitzmann
156
326
0
31 May 2022
ReLU Fields: The Little Non-linearity That Could
ReLU Fields: The Little Non-linearity That Could
Animesh Karnewar
Tobias Ritschel
Oliver Wang
Niloy J. Mitra
126
100
0
22 May 2022
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
210
13,886
0
02 Dec 2016
1