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Image Relighting

Image relighting involves changing the illumination settings of an image.

Papers

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Showing 1–25 of 58 papers

TitleStatusHype
DreamLight: Towards Harmonious and Consistent Image Relighting—0
DNF-Avatar: Distilling Neural Fields for Real-time Animatable Avatar RelightingCode1
LBM: Latent Bridge Matching for Fast Image-to-Image TranslationCode4
Light-A-Video: Training-free Video Relighting via Progressive Light FusionCode4
RelightVid: Temporal-Consistent Diffusion Model for Video Relighting—0
SynthLight: Portrait Relighting with Diffusion Model by Learning to Re-render Synthetic Faces—0
Text2Relight: Creative Portrait Relighting with Text Guidance—0
IDArb: Intrinsic Decomposition for Arbitrary Number of Input Views and Illuminations—0
GenLit: Reformulating Single-Image Relighting as Video Generation—0
SpotLight: Shadow-Guided Object Relighting via DiffusionCode1
All-frequency Full-body Human Image RelightingCode0
Neural Gaffer: Relighting Any Object via Diffusion—0
Latent Intrinsics Emerge from Training to Relight—0
Nighttime Person Re-Identification via Collaborative Enhancement Network with Multi-domain LearningCode0
Intrinsic Harmonization for Illumination-Aware CompositingCode1
Personalized Video Relighting With an At-Home Light StageCode0
Stanford-ORB: A Real-World 3D Object Inverse Rendering BenchmarkCode1
JoIN: Joint GANs Inversion for Intrinsic Image Decomposition—0
Neural-PBIR Reconstruction of Shape, Material, and Illumination—0
ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects—0
NeFII: Inverse Rendering for Reflectance Decomposition with Near-Field Indirect IlluminationCode1
Weakly-supervised Single-view Image Relighting—0
Relightable Neural Human Assets from Multi-view Gradient Illuminations—0
Designing An Illumination-Aware Network for Deep Image RelightingCode1
Local Relighting of Real ScenesCode1
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