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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 91–100 of 271 papers

TitleStatusHype
A Bayesian Inference Framework for Procedural Material Parameter Estimation—0
Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields—0
IllumiNeRF: 3D Relighting Without Inverse Rendering—0
Identity-Expression Ambiguity in 3D Morphable Face Models—0
Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of Illumination and Reflectance—0
Holistic Inverse Rendering of Complex Facade via Aerial 3D Scanning—0
CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images—0
HiNeuS: High-fidelity Neural Surface Mitigating Low-texture and Reflective Ambiguity—0
Differentiable Surface Rendering via Non-Differentiable Sampling—0
FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions—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