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 261–270 of 271 papers

TitleStatusHype
LIME: Live Intrinsic Material Estimation—0
SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the WildCode0
Blind Gain and Phase Calibration via Sparse Spectral Methods—0
End-to-end 3D shape inverse rendering of different classes of objects from a single input image—0
Deep Structure for end-to-end inverse rendering—0
Deep Face Feature for Face Alignment—0
CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images—0
Shading Annotations in the Wild—0
InverseFaceNet: Deep Monocular Inverse Face Rendering—0
Simultaneous Estimation of Near IR BRDF and Fine-Scale Surface Geometry—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