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 2130 of 271 papers

TitleStatusHype
Uncertainty for SVBRDF Acquisition using Frequency AnalysisCode1
GIR: 3D Gaussian Inverse Rendering for Relightable Scene FactorizationCode1
High-Quality Mesh Blendshape Generation from Face Videos via Neural Inverse RenderingCode1
Efficient Meshy Neural Fields for Animatable Human AvatarsCode1
A Morphable Face Albedo ModelCode1
A General Albedo Recovery Approach for Aerial Photogrammetric Images through Inverse RenderingCode1
Advances in Neural RenderingCode1
IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View SynthesisCode1
InverseRenderNet: Learning single image inverse renderingCode1
Multiview Textured Mesh Recovery by Differentiable RenderingCode1
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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