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 181–190 of 271 papers

TitleStatusHype
Differentiable Inverse Rendering with Interpretable Basis BRDFs—0
Differentiable Neural Radiosity—0
Differentiable Point-based Inverse Rendering—0
Differentiable Rendering of Neural SDFs through Reparameterization—0
Differentiable Surface Rendering via Non-Differentiable Sampling—0
Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of Illumination and Reflectance—0
Diffusion Renderer: Neural Inverse and Forward Rendering with Video Diffusion Models—0
DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models—0
Digital Twin Catalog: A Large-Scale Photorealistic 3D Object Digital Twin Dataset—0
Physics-based Indirect Illumination for Inverse Rendering—0
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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