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 21–30 of 271 papers

TitleStatusHype
Generative Detail Enhancement for Physically Based Materials—0
OMG: Opacity Matters in Material Modeling with Gaussian Splatting—0
NPSim: Nighttime Photorealistic Simulation From Daytime Images With Monocular Inverse Rendering and Ray Tracing—0
Multi-view 3D surface reconstruction from SAR images by inverse rendering—0
DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models—0
ROSA: Reconstructing Object Shape and Appearance Textures by Adaptive Detail TransferCode0
Materialist: Physically Based Editing Using Single-Image Inverse RenderingCode1
Diffusion Renderer: Neural Inverse and Forward Rendering with Video Diffusion Models—0
LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields—0
Shading Meets Motion: Self-supervised Indoor 3D Reconstruction Via Simultaneous Shape-from-Shading and Structure-from-Motion—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