Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2408.08524
Cited By
GS-ID: Illumination Decomposition on Gaussian Splatting via Diffusion Prior and Parametric Light Source Optimization
16 August 2024
Kang Du
Zhihao Liang
Zeyu Wang
3DGS
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"GS-ID: Illumination Decomposition on Gaussian Splatting via Diffusion Prior and Parametric Light Source Optimization"
12 / 12 papers shown
Title
GI-GS: Global Illumination Decomposition on Gaussian Splatting for Inverse Rendering
Hongze Chen
Zehong Lin
Jun Zhang
3DGS
77
5
0
03 Oct 2024
2D Gaussian Splatting for Geometrically Accurate Radiance Fields
Binbin Huang
Zehao Yu
Anpei Chen
Andreas Geiger
Shenghua Gao
3DGS
163
474
0
26 Mar 2024
IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenes
Rui Zhu
Zhengqin Li
J. Matai
Fatih Porikli
Manmohan Chandraker
ViT
87
49
0
16 Jun 2022
Modeling Indirect Illumination for Inverse Rendering
Yuanqing Zhang
Jiaming Sun
Xingyi He He
Huan Fu
Rongfei Jia
Xiaowei Zhou
3DV
90
156
0
14 Apr 2022
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans
Ainaz Eftekhar
Alexander Sax
Roman Bachmann
Jitendra Malik
Amir Zamir
MedIm
88
299
0
11 Oct 2021
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
Peng Wang
Lingjie Liu
Yuan Liu
Christian Theobalt
Taku Komura
Wenping Wang
99
1,728
0
20 Jun 2021
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
Michael Oechsle
Songyou Peng
Andreas Geiger
108
751
0
20 Apr 2021
NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis
Pratul P. Srinivasan
Boyang Deng
Xiuming Zhang
Matthew Tancik
B. Mildenhall
Jonathan T. Barron
80
604
0
07 Dec 2020
Neural Reflectance Fields for Appearance Acquisition
Sai Bi
Zexiang Xu
Pratul P. Srinivasan
B. Mildenhall
Kalyan Sunkavalli
Milovs Havsan
Yannick Hold-Geoffroy
D. Kriegman
R. Ramamoorthi
3DH
84
241
0
09 Aug 2020
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision
Michael Niemeyer
L. Mescheder
Michael Oechsle
Andreas Geiger
3DH
3DV
71
997
0
16 Dec 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
3DV
131
3,688
0
16 Jan 2019
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
377
11,795
0
11 Jan 2018
1