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 1120 of 271 papers

TitleStatusHype
Learning 3D-Gaussian Simulators from RGB Videos0
Locally Orderless Images for Optimization in Differentiable Rendering0
TensoFlow: Tensorial Flow-based Sampler for Inverse RenderingCode1
BG-Triangle: Bézier Gaussian Triangle for 3D Vectorization and Rendering0
Shadow Art Kanji: Inverse Rendering ApplicationCode0
Channel-wise Noise Scheduled Diffusion for Inverse Rendering in Indoor Scenes0
GroomLight: Hybrid Inverse Rendering for Relightable Human Hair Appearance Modeling0
SuperCarver: Texture-Consistent 3D Geometry Super-Resolution for High-Fidelity Surface Detail Generation0
Vid2Avatar-Pro: Authentic Avatar from Videos in the Wild via Universal Prior0
GlossGau: Efficient Inverse Rendering for Glossy Surface with Anisotropic Spherical Gaussian0
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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