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Lighting Estimation

Lighting Estimation analyzes given images to provide detailed information about the lighting in a scene.

Papers

Showing 125 of 53 papers

TitleStatusHype
CleAR: Robust Context-Guided Generative Lighting Estimation for Mobile Augmented Reality0
LightOctree: Lightweight 3D Spatially-Coherent Indoor Lighting Estimation0
Zero-LED: Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement0
Editable Scene Simulation for Autonomous Driving via Collaborative LLM-AgentsCode3
Pano-NeRF: Synthesizing High Dynamic Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic ImagesCode0
DiffusionLight: Light Probes for Free by Painting a Chrome BallCode2
Towards a Perceptual Evaluation Framework for Lighting EstimationCode1
Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracing0
A Real-time Method for Inserting Virtual Objects into Neural Radiance Fields0
Spatiotemporally Consistent HDR Indoor Lighting Estimation0
EverLight: Indoor-Outdoor Editable HDR Lighting Estimation0
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting EstimationCode1
NeILF++: Inter-Reflectable Light Fields for Geometry and Material EstimationCode1
MAIR: Multi-view Attention Inverse Rendering with 3D Spatially-Varying Lighting EstimationCode1
Multi-Camera Lighting Estimation for Photorealistic Front-Facing Mobile Augmented Reality0
Accidental Light Probes0
Editable Indoor Lighting EstimationCode0
SPIDR: SDF-based Neural Point Fields for Illumination and Deformation0
Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion0
StyleLight: HDR Panorama Generation for Lighting Estimation and EditingCode1
DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated ImagesCode0
Physically-Based Editing of Indoor Scene Lighting from a Single Image0
NeILF: Neural Incident Light Field for Physically-based Material EstimationCode1
Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences using Transformer Networks0
Deep Graph Learning for Spatially-Varying Indoor Lighting Prediction0
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