ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.16284
  4. Cited By
FIRe: Fast Inverse Rendering using Directional and Signed Distance
  Functions
v1v2v3 (latest)

FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
30 March 2022
Tarun Yenamandra
A. Tewari
Nan Yang
Florian Bernard
Christian Theobalt
Zorah Lähner
ArXiv (abs)PDFHTML

Papers citing "FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions"

7 / 7 papers shown
Mesh Compression with Quantized Neural Displacement Fields
Mesh Compression with Quantized Neural Displacement Fields
Sai Karthikey Pentapati
Gregoire Phillips
Alan Bovik
AI4CE
311
1
0
28 Mar 2025
Learning Scene-Level Signed Directional Distance Function with Ellipsoidal Priors and Neural Residuals
Learning Scene-Level Signed Directional Distance Function with Ellipsoidal Priors and Neural Residuals
Zhirui Dai
Hojoon Shin
Yulun Tian
Ki Myung Brian Lee
Nikolay Atanasov
241
0
0
25 Mar 2025
CoFie: Learning Compact Neural Surface Representations with Coordinate
  Fields
CoFie: Learning Compact Neural Surface Representations with Coordinate Fields
Hanwen Jiang
Haitao Yang
Georgios Pavlakos
Qixing Huang
247
5
0
05 Jun 2024
The Sky's the Limit: Re-lightable Outdoor Scenes via a Sky-pixel
  Constrained Illumination Prior and Outside-In Visibility
The Sky's the Limit: Re-lightable Outdoor Scenes via a Sky-pixel Constrained Illumination Prior and Outside-In VisibilityEuropean Conference on Computer Vision (ECCV), 2023
James A. D. Gardner
Evgenii Kashin
Bernhard Egger
William A. P. Smith
179
8
0
28 Nov 2023
Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D
  Scene Representations
Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations
Tristan Aumentado-Armstrong
Ashkan Mirzaei
Marcus A. Brubaker
J. Kelly
Alex Levinshtein
Konstantinos G. Derpanis
Igor Gilitschenski
197
6
0
27 Oct 2023
MARF: The Medial Atom Ray Field Object Representation
MARF: The Medial Atom Ray Field Object RepresentationComputers & graphics (CG), 2023
Peder Bergebakken Sundt
T. Theoharis
288
6
0
30 Jun 2023
Implicit Functions in Feature Space for 3D Shape Reconstruction and
  Completion
Implicit Functions in Feature Space for 3D Shape Reconstruction and CompletionComputer Vision and Pattern Recognition (CVPR), 2020
Julian Chibane
Thiemo Alldieck
Gerard Pons-Moll
3DPC
471
541
0
03 Mar 2020
1