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 7180 of 271 papers

TitleStatusHype
All-frequency Full-body Human Image RelightingCode0
NOVUM: Neural Object Volumes for Robust Object ClassificationCode0
ROSA: Reconstructing Object Shape and Appearance Textures by Adaptive Detail TransferCode0
RenderNet: A deep convolutional network for differentiable rendering from 3D shapesCode0
Physically Disentangled RepresentationsCode0
Differentiable Surface Splatting for Point-based Geometry ProcessingCode0
Neural Lumigraph RenderingCode0
Differentiable Monte Carlo Ray Tracing through Edge SamplingCode0
Light Sampling Field and BRDF Representation for Physically-based Neural RenderingCode0
Learning to Rasterize DifferentiablyCode0
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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