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 251260 of 271 papers

TitleStatusHype
ROSA: Reconstructing Object Shape and Appearance Textures by Adaptive Detail TransferCode0
NOVUM: Neural Object Volumes for Robust Object ClassificationCode0
Deep Single-Image Portrait RelightingCode0
SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the WildCode0
Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF from a Single ImageCode0
Fine-Grained Multi-View Hand Reconstruction Using Inverse RenderingCode0
Shadow Art Kanji: Inverse Rendering ApplicationCode0
RenderNet: A deep convolutional network for differentiable rendering from 3D shapesCode0
Virtual Home Staging: Inverse Rendering and Editing an Indoor Panorama under Natural IlluminationCode0
All-frequency Full-body Human Image RelightingCode0
Show:102550
← PrevPage 26 of 28Next →

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