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Lighting Estimation
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Lighting Estimation analyzes given images to provide detailed information about the lighting in a scene.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
LightOctree: Lightweight 3D Spatially-Coherent Indoor Lighting Estimation
Zero-LED: Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement
Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents
Pano-NeRF: Synthesizing High Dynamic Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic Images
DiffusionLight: Light Probes for Free by Painting a Chrome Ball
Towards a Perceptual Evaluation Framework for Lighting Estimation
Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracing
A Real-time Method for Inserting Virtual Objects into Neural Radiance Fields
Spatiotemporally Consistent HDR Indoor Lighting Estimation
EverLight: Indoor-Outdoor Editable HDR Lighting Estimation
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation
NeILF++: Inter-Reflectable Light Fields for Geometry and Material Estimation
MAIR: Multi-view Attention Inverse Rendering with 3D Spatially-Varying Lighting Estimation
Multi-Camera Lighting Estimation for Photorealistic Front-Facing Mobile Augmented Reality
Accidental Light Probes
Editable Indoor Lighting Estimation
SPIDR: SDF-based Neural Point Fields for Illumination and Deformation
Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion
StyleLight: HDR Panorama Generation for Lighting Estimation and Editing
DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated Images
Physically-Based Editing of Indoor Scene Lighting from a Single Image
NeILF: Neural Incident Light Field for Physically-based Material Estimation
Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences using Transformer Networks
Deep Graph Learning for Spatially-Varying Indoor Lighting Prediction
Spatially and color consistent environment lighting estimation using deep neural networks for mixed reality
Sparse Needlets for Lighting Estimation with Spherical Transport Loss
Xihe: A 3D Vision-based Lighting Estimation Framework for Mobile Augmented Reality
Spatially-Varying Outdoor Lighting Estimation from Intrinsics
A New Dimension in Testimony: Relighting Video with Reflectance Field Exemplars
GMLight: Lighting Estimation via Geometric Distribution Approximation
EMLight: Lighting Estimation via Spherical Distribution Approximation
Shape From Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images via Differentiable Path Tracing
Learning Illumination from Diverse Portraits
OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets
Deep Lighting Environment Map Estimation from Spherical Panoramas
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.