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 6170 of 271 papers

TitleStatusHype
GIR: 3D Gaussian Inverse Rendering for Relightable Scene FactorizationCode1
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collectionsCode1
High-Quality Mesh Blendshape Generation from Face Videos via Neural Inverse RenderingCode1
NDJIR: Neural Direct and Joint Inverse Rendering for Geometry, Lights, and Materials of Real ObjectCode1
Spelunking the Deep: Guaranteed Queries on General Neural Implicit Surfaces via Range AnalysisCode1
IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View SynthesisCode1
SVG-IR: Spatially-Varying Gaussian Splatting for Inverse RenderingCode1
DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated ImagesCode0
NOVUM: Neural Object Volumes for Robust Object ClassificationCode0
ROSA: Reconstructing Object Shape and Appearance Textures by Adaptive Detail TransferCode0
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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