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 151–175 of 271 papers

TitleStatusHype
SIR: Multi-view Inverse Rendering with Decomposable Shadow for Indoor Scenes—0
NeRF as a Non-Distant Environment Emitter in Physics-based Inverse Rendering—0
IRIS: Inverse Rendering of Indoor Scenes from Low Dynamic Range Images—0
SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild—0
Neural Rendering and Its Hardware Acceleration: A Review—0
VMINer: Versatile Multi-view Inverse Rendering with Near- and Far-field Light Sources—0
TurboSL: Dense Accurate and Fast 3D by Neural Inverse Structured Light—0
Radar Fields: An Extension of Radiance Fields to SAR—0
ZS-SRT: An Efficient Zero-Shot Super-Resolution Training Method for Neural Radiance Fields—0
MonoNPHM: Dynamic Head Reconstruction from Monocular Videos—0
Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of Illumination and Reflectance—0
Differentiable Point-based Inverse Rendering—0
NeISF: Neural Incident Stokes Field for Geometry and Material Estimation—0
Virtual Home Staging: Inverse Rendering and Editing an Indoor Panorama under Natural IlluminationCode0
NePF: Neural Photon Field for Single-Stage Inverse Rendering—0
Holistic Inverse Rendering of Complex Facade via Aerial 3D Scanning—0
Single-Image 3D Human Digitization with Shape-Guided Diffusion—0
DeepShaRM: Multi-View Shape and Reflectance Map Recovery Under Unknown Lighting—0
Joint Sampling and Optimisation for Inverse Rendering—0
OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects—0
A Theory of Topological Derivatives for Inverse Rendering of Geometry—0
Efficient Multi-View Inverse Rendering Using a Hybrid Differentiable Rendering Method—0
Relightable and Animatable Neural Avatar from Sparse-View Video—0
Measured Albedo in the Wild: Filling the Gap in Intrinsics Evaluation—0
UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video—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