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

Showing 8190 of 271 papers

TitleStatusHype
Differentiable Monte Carlo Ray Tracing through Edge SamplingCode0
Learning to Rasterize DifferentiablyCode0
Light Sampling Field and BRDF Representation for Physically-based Neural RenderingCode0
IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor ScenesCode0
Fine-Grained Multi-View Hand Reconstruction Using Inverse RenderingCode0
Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF from a Single ImageCode0
Face Inverse Rendering via Hierarchical DecouplingCode0
Deep Single-Image Portrait RelightingCode0
Epi-NAF: Enhancing Neural Attenuation Fields for Limited-Angle CT with Epipolar Consistency Conditions0
Environment Maps Editing using Inverse Rendering and Adversarial Implicit Functions0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural-PBIRHDR-PSNR26.01Unverified
2NVDiffRecMCHDR-PSNR24.43Unverified
3InvRenderHDR-PSNR23.76Unverified
4NeRFactorHDR-PSNR23.54Unverified
5NeRDHDR-PSNR23.29Unverified
6NVDiffRecHDR-PSNR22.91Unverified
7PhySGHDR-PSNR21.81Unverified