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

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Showing 1–10 of 271 papers

TitleStatusHype
Colorful Diffuse Intrinsic Image Decomposition in the WildCode3
Segment Anything in 3D with Radiance FieldsCode3
Inferring Articulated Rigid Body Dynamics from RGBD VideoCode3
Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object RelightingCode2
GS-IR: 3D Gaussian Splatting for Inverse RenderingCode2
Intrinsic Image Decomposition via Ordinal ShadingCode2
TensoIR: Tensorial Inverse RenderingCode2
Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and DenoisingCode2
Extracting Triangular 3D Models, Materials, and Lighting From ImagesCode2
ADOP: Approximate Differentiable One-Pixel Point RenderingCode2
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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