SOTAVerified

Inverse Rendering

Inverse Rendering is the task of recovering the properties of a scene, such as shape, material, and lighting, from an image or a video. The goal of inverse rendering is to determine the properties of a scene given an observation of it, and to generate new images or videos based on these properties.

Papers

Showing 226250 of 271 papers

TitleStatusHype
SuperCarver: Texture-Consistent 3D Geometry Super-Resolution for High-Fidelity Surface Detail Generation0
SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering0
Surfel-based Gaussian Inverse Rendering for Fast and Relightable Dynamic Human Reconstruction from Monocular Video0
Survey of Deep Learning Methods for Inverse Problems0
TileGen: Tileable, Controllable Material Generation and Capture0
TransparentGS: Fast Inverse Rendering of Transparent Objects with Gaussians0
TurboSL: Dense Accurate and Fast 3D by Neural Inverse Structured Light0
Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces0
Uni-Renderer: Unifying Rendering and Inverse Rendering Via Dual Stream Diffusion0
Unveiling the Ambiguity in Neural Inverse Rendering: A Parameter Compensation Analysis0
URAvatar: Universal Relightable Gaussian Codec Avatars0
UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video0
Vid2Avatar-Pro: Authentic Avatar from Videos in the Wild via Universal Prior0
VMINer: Versatile Multi-view Inverse Rendering with Near- and Far-field Light Sources0
Don't Splat your Gaussians: Volumetric Ray-Traced Primitives for Modeling and Rendering Scattering and Emissive Media0
Weakly-supervised Single-view Image Relighting0
3D Gaussian Inverse Rendering with Approximated Global Illumination0
SfSNet: Learning Shape, Reflectance and Illuminance of Faces `in the Wild'0
Shading Annotations in the Wild0
Shading Meets Motion: Self-supervised Indoor 3D Reconstruction Via Simultaneous Shape-from-Shading and Structure-from-Motion0
SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild0
Simultaneous Estimation of Near IR BRDF and Fine-Scale Surface Geometry0
Single-Image 3D Human Digitization with Shape-Guided Diffusion0
Single-Shot Neural Relighting and SVBRDF Estimation0
SIR: Multi-view Inverse Rendering with Decomposable Shadow for Indoor Scenes0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural-PBIRHDR-PSNR26.01Unverified
2NVDiffRecMCHDR-PSNR24.43Unverified
3InvRenderHDR-PSNR23.76Unverified
4NeRFactorHDR-PSNR23.54Unverified
5NeRDHDR-PSNR23.29Unverified
6NVDiffRecHDR-PSNR22.91Unverified
7PhySGHDR-PSNR21.81Unverified