Image Relighting
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Benchmarks
Stanford-ORB
VIDIT’20 validation set
Most implemented
Scale-recurrent Network for Deep Image Deblurring
NTIRE 2021 Depth Guided Image Relighting Challenge
Local Relighting of Real Scenes
Extracting Triangular 3D Models, Materials, and Lighting From Images
Multi-modal Bifurcated Network for Depth Guided Image Relighting
AIM 2020: Scene Relighting and Illumination Estimation Challenge
Papers
RelightFormer: Feed-forward Generative Transformer for Multiview Object Relighting
Image relighting is traditionally tackled via complex inverse rendering pipelines, which suffer from ill-posed optimization, or single-image generative models that ignore crucial multi-view cues necessary for understandi…
Zero-shot GeneralizationInverse RenderingImage RelightingWarpI2I: Image Warping for Image-to-Image Translation
Image-to-image (I2I) translation has achieved strong results in tasks like human relighting and driving scene translation using latent diffusion models (LDMs). However, compact LDMs often struggle to preserve fine-graine…
Image-to-Image TranslationSynthetic Data GenerationImage RelightingPIXLRelight: Controllable Relighting via Intrinsic Conditioning
We present PIXLRelight, a feed-forward approach for physically controllable single-image relighting. Existing methods either provide limited lighting control (e.g. through text or environment maps), accumulate errors whe…
3D ReconstructionImage RelightingWildRelight: A Real-World Benchmark and Physics-Guided Adaptation for Single-Image Relighting
Recent single-image relighting methods, powered by advanced generative models, have achieved impressive photorealism on synthetic benchmarks. However, their effectiveness in the complex visual landscape of the real world…
Test-time AdaptationDomain AdaptationImage RelightingTokenLight: Precise Lighting Control in Images using Attribute Tokens
This paper presents a method for image relighting that enables precise and continuous control over multiple illumination attributes in a photograph. We formulate relighting as a conditional image generation task and intr…
Conditional Image GenerationContinuous ControlInverse RenderingImage RelightingLightCtrl: Training-free Controllable Video Relighting
Recent diffusion models have achieved remarkable success in image relighting, and this success has quickly been extended to video relighting. However, existing methods offer limited explicit control over illumination in …
Image Relighting