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 241–250 of 271 papers

TitleStatusHype
Object-based Illumination Estimation with Rendering-aware Neural Networks—0
Single-Shot Neural Relighting and SVBRDF Estimation—0
OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets—0
Polarimetric Multi-View Inverse Rendering—0
Q-NET: A Network for Low-Dimensional Integrals of Neural Proxies—0
Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone Transform—0
Inverse Rendering Techniques for Physically Grounded Image Editing—0
A Bayesian Inference Framework for Procedural Material Parameter Estimation—0
Refining 6D Object Pose Predictions using Abstract Render-and-Compare—0
Deep Single-Image Portrait RelightingCode0
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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