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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 241–250 of 271 papers

TitleStatusHype
Weakly-supervised Single-view Image Relighting—0
3D Gaussian Inverse Rendering with Approximated Global Illumination—0
SfSNet: Learning Shape, Reflectance and Illuminance of Faces `in the Wild'—0
Shading Annotations in the Wild—0
Shading Meets Motion: Self-supervised Indoor 3D Reconstruction Via Simultaneous Shape-from-Shading and Structure-from-Motion—0
SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild—0
Simultaneous Estimation of Near IR BRDF and Fine-Scale Surface Geometry—0
Single-Image 3D Human Digitization with Shape-Guided Diffusion—0
Single-Shot Neural Relighting and SVBRDF Estimation—0
SIR: Multi-view Inverse Rendering with Decomposable Shadow for Indoor Scenes—0
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Benchmark Results

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