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 101–110 of 271 papers

TitleStatusHype
Intrinsic PAPR for Point-level 3D Scene Albedo and Shading Editing—0
InverseFaceNet: Deep Monocular Inverse Face Rendering—0
Differentiable Surface Rendering via Non-Differentiable Sampling—0
Inverse Neural Rendering for Explainable Multi-Object Tracking—0
Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-training via Differentiable Rendering of Line Segments—0
Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields—0
FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions—0
Hardware Acceleration of Neural Graphics—0
CLA-NeRF: Category-Level Articulated Neural Radiance Field—0
Acquisition of Spatially-Varying Reflectance and Surface Normals via Polarized Reflectance Fields—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