Learning to Estimate Indoor Lighting from 3D Objects

11 June 2018

Papers citing "Learning to Estimate Indoor Lighting from 3D Objects"

7 / 7 papers shown

Title
GCC: Generative Color Constancy via Diffusing a Color Checker Chen-Wei Chang Cheng-De Fan Chia-Che Chang Yi-Chen Lo Yu-Chee Tseng Jiun-Long Huang Yu-Lun Liu 46 0 0 24 Feb 2025
Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of Illumination and Reflectance Yuto Enyo Ko Nishino 3DV 31 2 0 07 Dec 2023
Accidental Light Probes Hong-Xing Yu Samir Agarwala Charles Herrmann Richard Szeliski Noah Snavely Jiajun Wu Deqing Sun 33 8 0 12 Jan 2023
Deep Graph Learning for Spatially-Varying Indoor Lighting Prediction Jia-Xuan Bai Jie Guo Chenchen Wang Zhenyu Chen Zhen He Shan Yang Piaopiao Yu Yan Zhang Yanwen Guo 3DV 30 10 0 13 Feb 2022
Spatially and color consistent environment lighting estimation using deep neural networks for mixed reality B. Marques E. Clua A. Montenegro C. N. Vasconcelos 3DV 11 10 0 17 Aug 2021
Neural Illumination: Lighting Prediction for Indoor Environments Shuran Song Thomas Funkhouser 3DV 29 111 0 18 Jun 2019
Self-calibrating Deep Photometric Stereo Networks Guanying Chen Kai Han Boxin Shi Y. Matsushita Kwan-Yee Kenneth Wong 28 124 0 18 Mar 2019