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 5160 of 271 papers

TitleStatusHype
A Morphable Face Albedo ModelCode1
PBR-NeRF: Inverse Rendering with Physics-Based Neural FieldsCode1
Dynamic Scene Understanding through Object-Centric Voxelization and Neural RenderingCode1
PhyIR: Physics-Based Inverse Rendering for Panoramic Indoor ImagesCode1
IBL-NeRF: Image-Based Lighting Formulation of Neural Radiance FieldsCode1
Invertible Neural BRDF for Object Inverse RenderingCode1
Self-Calibrating, Fully Differentiable NLOS Inverse RenderingCode1
Self-calibrating Photometric Stereo by Neural Inverse RenderingCode1
Multiview Textured Mesh Recovery by Differentiable RenderingCode1
NeFII: Inverse Rendering for Reflectance Decomposition with Near-Field Indirect IlluminationCode1
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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