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
Building 3D Morphable Models from a Single ScanCode1
Multiview Textured Mesh Recovery by Differentiable RenderingCode1
Efficient Meshy Neural Fields for Animatable Human AvatarsCode1
InverseRenderNet: Learning single image inverse renderingCode1
A Morphable Face Albedo ModelCode1
Uncertainty for SVBRDF Acquisition using Frequency AnalysisCode1
Differentiable Programming for Hyperspectral Unmixing using a Physics-based Dispersion ModelCode1
A General Albedo Recovery Approach for Aerial Photogrammetric Images through Inverse RenderingCode1
High-Quality Mesh Blendshape Generation from Face Videos via Neural Inverse RenderingCode1
IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View SynthesisCode1
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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