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 161–170 of 271 papers

TitleStatusHype
A General Scattering Phase Function for Inverse Rendering—0
A Simple Approach to Differentiable Rendering of SDFs—0
A Theory of Topological Derivatives for Inverse Rendering of Geometry—0
BG-Triangle: Bézier Gaussian Triangle for 3D Vectorization and Rendering—0
BG-Triangle: Bezier Gaussian Triangle for 3D Vectorization and Rendering—0
Blind Gain and Phase Calibration via Sparse Spectral Methods—0
Blind Inversion using Latent Diffusion Priors—0
Channel-wise Noise Scheduled Diffusion for Inverse Rendering in Indoor Scenes—0
CLA-NeRF: Category-Level Articulated Neural Radiance Field—0
CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images—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