Papers Lighting Estimation
“Lighting Estimation” 태그가 달린 논문 53편 · 필터 해제
CleAR: Robust Context-Guided Generative Lighting Estimation for Mobile Augmented Reality
High-quality environment lighting is essential for creating immersive mobile augmented reality (AR) experiences. However, achieving visually coherent estimation for mobile AR is challenging due to several key limitations…
HallucinationLighting EstimationLightOctree: Lightweight 3D Spatially-Coherent Indoor Lighting Estimation
We present a lightweight solution for estimating spatially-coherent indoor lighting from a single RGB image. Previous methods for estimating illumination using volumetric representations have overlooked the sparse distri…
Lighting EstimationZero-LED: Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement
Diffusion model-based low-light image enhancement methods rely heavily on paired training data, leading to limited extensive application. Meanwhile, existing unsupervised methods lack effective bridging capabilities for …
Image EnhancementLighting EstimationLow-Light Image EnhancementEditable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents
Scene simulation in autonomous driving has gained significant attention because of its huge potential for generating customized data. However, existing editable scene simulation approaches face limitations in terms of us…
Autonomous DrivingLanguage ModelingLanguage ModellingLarge Language Model+1Pano-NeRF: Synthesizing High Dynamic Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic Images
Panoramic imaging research on geometry recovery and High Dynamic Range (HDR) reconstruction becomes a trend with the development of Extended Reality (XR). Neural Radiance Fields (NeRF) provide a promising scene represent…
HDR ReconstructionLighting EstimationNeRFDiffusionLight: Light Probes for Free by Painting a Chrome Ball
We present a simple yet effective technique to estimate lighting in a single input image. Current techniques rely heavily on HDR panorama datasets to train neural networks to regress an input with limited field-of-view t…
DiversityLighting EstimationTowards a Perceptual Evaluation Framework for Lighting Estimation
Progress in lighting estimation is tracked by computing existing image quality assessment (IQA) metrics on images from standard datasets. While this may appear to be a reasonable approach, we demonstrate that doing so do…
Image Quality AssessmentLighting EstimationRelightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracing
In this paper, we present a novel differentiable point-based rendering framework to achieve photo-realistic relighting. To make the reconstructed scene relightable, we enhance vanilla 3D Gaussians by associating extra pr…
BRDF estimationLighting EstimationNovel View SynthesisA Real-time Method for Inserting Virtual Objects into Neural Radiance Fields
We present the first real-time method for inserting a rigid virtual object into a neural radiance field, which produces realistic lighting and shadowing effects, as well as allows interactive manipulation of the object. …
Lighting EstimationNeRFObjectSpatiotemporally Consistent HDR Indoor Lighting Estimation
We propose a physically-motivated deep learning framework to solve a general version of the challenging indoor lighting estimation problem. Given a single LDR image with a depth map, our method predicts spatially consist…
DecoderGPULighting EstimationPredictionEverLight: Indoor-Outdoor Editable HDR Lighting Estimation
Because of the diversity in lighting environments, existing illumination estimation techniques have been designed explicitly on indoor or outdoor environments. Methods have focused specifically on capturing accurate ener…
Lighting EstimationFactorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation
Inverse path tracing has recently been applied to joint material and lighting estimation, given geometry and multi-view HDR observations of an indoor scene. However, it has two major limitations: path tracing is expensiv…
Inverse RenderingLighting EstimationNeILF++: Inter-Reflectable Light Fields for Geometry and Material Estimation
We present a novel differentiable rendering framework for joint geometry, material, and lighting estimation from multi-view images. In contrast to previous methods which assume a simplified environment map or co-located …
Lighting EstimationNeRFMAIR: Multi-view Attention Inverse Rendering with 3D Spatially-Varying Lighting Estimation
We propose a scene-level inverse rendering framework that uses multi-view images to decompose the scene into geometry, a SVBRDF, and 3D spatially-varying lighting. Because multi-view images provide a variety of informati…
Inverse RenderingLighting EstimationMulti-Camera Lighting Estimation for Photorealistic Front-Facing Mobile Augmented Reality
Lighting understanding plays an important role in virtual object composition, including mobile augmented reality (AR) applications. Prior work often targets recovering lighting from the physical environment to support ph…
Lighting EstimationVirtual Try-onAccidental Light Probes
Recovering lighting in a scene from a single image is a fundamental problem in computer vision. While a mirror ball light probe can capture omnidirectional lighting, light probes are generally unavailable in everyday ima…
Lighting EstimationEditable Indoor Lighting Estimation
We present a method for estimating lighting from a single perspective image of an indoor scene. Previous methods for predicting indoor illumination usually focus on either simple, parametric lighting that lack realism, o…
Lighting EstimationSPIDR: SDF-based Neural Point Fields for Illumination and Deformation
Neural radiance fields (NeRFs) have recently emerged as a promising approach for 3D reconstruction and novel view synthesis. However, NeRF-based methods encode shape, reflectance, and illumination implicitly and this mak…
3D ReconstructionLighting EstimationNeRFNovel View Synthesis+1Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion
We consider the challenging problem of outdoor lighting estimation for the goal of photorealistic virtual object insertion into photographs. Existing works on outdoor lighting estimation typically simplify the scene ligh…
Autonomous DrivingLighting EstimationObjectStyleLight: HDR Panorama Generation for Lighting Estimation and Editing
We present a new lighting estimation and editing framework to generate high-dynamic-range (HDR) indoor panorama lighting from a single limited field-of-view (LFOV) image captured by low-dynamic-range (LDR) cameras. Exist…
Lighting Estimation