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 5160 of 271 papers

TitleStatusHype
A Level Set Theory for Neural Implicit Evolution under Explicit FlowsCode1
Modeling Indirect Illumination for Inverse RenderingCode1
Spelunking the Deep: Guaranteed Queries on General Neural Implicit Surfaces via Range AnalysisCode1
NeAT: Neural Adaptive TomographyCode1
PhyIR: Physics-Based Inverse Rendering for Panoramic Indoor ImagesCode1
Advances in Neural RenderingCode1
NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown IlluminationCode1
Outdoor inverse rendering from a single image using multiview self-supervisionCode1
NeRD: Neural Reflectance Decomposition from Image CollectionsCode1
Building 3D Morphable Models from a Single ScanCode1
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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