Papers Image Relighting
“Image Relighting” 태그가 달린 논문 70편 · 필터 해제
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 RelightingLearning Latent Proxies for Controllable Single-Image Relighting
Single-image relighting is highly under-constrained: small illumination changes can produce large, nonlinear variations in shading, shadows, and specularities, while geometry and materials remain unobserved. Existing dif…
Continuous ControlImage RelightingRelighting as a Probe of Visual Priors via Augmented Latent Intrinsics
Image-to-image relighting requires representations that separate illumination from scene properties while preserving dense geometry, material, and photometric cues. We use this task as a probe of visual priors: unlike re…
Image RelightingPI-Light: Physics-Inspired Diffusion for Full-Image Relighting
Full-image relighting remains a challenging problem due to the difficulty of collecting large-scale structured paired data, the difficulty of maintaining physical plausibility, and the limited generalizability imposed by…
Image RelightingImage EditingReLumix: Extending Image Relighting to Video via Video Diffusion Models
Controlling illumination during video post-production is a crucial yet elusive goal in computational photography. Existing methods often lack flexibility, restricting users to certain relighting models. This paper introd…
Image RelightingLightSwitch: Multi-view Relighting with Material-guided Diffusion
Recent approaches for 3D relighting have shown promise in integrating 2D image relighting generative priors to alter the appearance of a 3D representation while preserving the underlying structure. Nevertheless, generati…
Inverse RenderingImage RelightingPhysically Controllable Relighting of Photographs
We present a self-supervised approach to in-the-wild image relighting that enables fully controllable, physically based illumination editing. We achieve this by combining the physical accuracy of traditional rendering wi…
Image RelightingDreamLight: Towards Harmonious and Consistent Image Relighting
We introduce a model named DreamLight for universal image relighting in this work, which can seamlessly composite subjects into a new background while maintaining aesthetic uniformity in terms of lighting and color tone.…
DisentanglementImage RelightingDNF-Avatar: Distilling Neural Fields for Real-time Animatable Avatar Relighting
Creating relightable and animatable human avatars from monocular videos is a rising research topic with a range of applications, e.g. virtual reality, sports, and video games. Previous works utilize neural fields togethe…
Image RelightingLBM: Latent Bridge Matching for Fast Image-to-Image Translation
In this paper, we introduce Latent Bridge Matching (LBM), a new, versatile and scalable method that relies on Bridge Matching in a latent space to achieve fast image-to-image translation. We show that the method can reac…
Depth EstimationImage RelightingImage-to-Image TranslationTranslationLight-A-Video: Training-free Video Relighting via Progressive Light Fusion
Recent advancements in image relighting models, driven by large-scale datasets and pre-trained diffusion models, have enabled the imposition of consistent lighting. However, video relighting still lags, primarily due to …
Image RelightingRelightVid: Temporal-Consistent Diffusion Model for Video Relighting
Diffusion models have demonstrated remarkable success in image generation and editing, with recent advancements enabling albedo-preserving image relighting. However, applying these models to video relighting remains chal…
Image GenerationImage RelightingmodelSynthLight: Portrait Relighting with Diffusion Model by Learning to Re-render Synthetic Faces
We introduce SynthLight, a diffusion model for portrait relighting. Our approach frames image relighting as a re-rendering problem, where pixels are transformed in response to changes in environmental lighting conditions…
Image RelightingText2Relight: Creative Portrait Relighting with Text Guidance
We present a lighting-aware image editing pipeline that, given a portrait image and a text prompt, performs single image relighting. Our model modifies the lighting and color of both the foreground and background to alig…
Image GenerationImage RelightingLarge Language ModelIDArb: Intrinsic Decomposition for Arbitrary Number of Input Views and Illuminations
Capturing geometric and material information from images remains a fundamental challenge in computer vision and graphics. Traditional optimization-based methods often require hours of computational time to reconstruct ge…
3D ReconstructionImage Relighting