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 81–90 of 271 papers

TitleStatusHype
IllumiNeRF: 3D Relighting Without Inverse Rendering—0
3D Reconstruction with Fast Dipole Sums—0
Don't Splat your Gaussians: Volumetric Ray-Traced Primitives for Modeling and Rendering Scattering and Emissive Media—0
GS-ROR^2: Bidirectional-guided 3DGS and SDF for Reflective Object Relighting and Reconstruction—0
A Simple Approach to Differentiable Rendering of SDFs—0
RGBX: Image decomposition and synthesis using material- and lighting-aware diffusion models—0
ESR-NeRF: Emissive Source Reconstruction Using LDR Multi-view Images—0
Unveiling the Ambiguity in Neural Inverse Rendering: A Parameter Compensation Analysis—0
Inverse Neural Rendering for Explainable Multi-Object Tracking—0
IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination—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