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DeepLight: Light Source Estimation for Augmented Reality Using Deep Learning
Light Estimation in Augmented Reality
StyleLight: HDR Panorama Generation for Lighting Estimation and Editing
Learning to Estimate Environmental Lighting
OmniCV 2020 Workshop Poster: Deep Lighting Environment Map Estimation from Spherical Panoramas
[ECCV'22] Neural Light Field Estimation with Differentiable Virtual Object Insertion
Cubemap-based light position estimation - Testing with Spheremaps
Light Estimates
VT1.8 Estimating Lighting and Equipment Energy Use
PointAR: Efficient Lighting Estimation for Mobile Augmented Reality ECCV 2020 presentation
Estimation of Position and Intensity of Dynamic Light Sources using Cast Shadows
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Last Updated: October 22, 2026
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Project: peter-kocsis.github.io/IntrinsicImageDiffusion/ Paper: arxiv.org/abs/2312.12274 We present Intrinsic Image ... Turn on the Caption for a more detailed explanation of the method. [Authors] Jinwoo Park* (KAIST UVR Lab.), Hunmin Park (KAIST), Sung-Eui Yoon (KAIST), Woontack Woo (KAIST UVR Lab.). Demonstration video for research paper: link.springer.com/article/10.1007%2Fs00371-019-01666-x. A quick video showing how to setup StyleLight: HDR Panorama Generation for Authors: Sean Fanello, Christoph Rhemann, Jonathan Taylor, Sofien Bouaziz, Adarsh Kowdle, Rohit Pandey, Sergio ... Authors: Vasileios Gkitsas, Nikolaos Zioulis, Federico Alvarez, Dimitrios Zarpalas, Petros Daras Omnidirectional Presentation video of ECCV 2022 work “Neural Presenter: Yiqin Zhao (WPI), joint work with Tian Guo (WPI). In this work, we consider the problem of