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 101–150 of 271 papers

TitleStatusHype
High-Quality Mesh Blendshape Generation from Face Videos via Neural Inverse RenderingCode1
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
GIR: 3D Gaussian Inverse Rendering for Relightable Scene FactorizationCode1
IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray TracingCode1
Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of Illumination and Reflectance—0
Differentiable Point-based Inverse Rendering—0
The Sky's the Limit: Re-lightable Outdoor Scenes via a Sky-pixel Constrained Illumination Prior and Outside-In VisibilityCode1
GS-IR: 3D Gaussian Splatting for Inverse RenderingCode2
NeISF: Neural Incident Stokes Field for Geometry and Material Estimation—0
Virtual Home Staging: Inverse Rendering and Editing an Indoor Panorama under Natural IlluminationCode0
Intrinsic Image Decomposition via Ordinal ShadingCode2
Holistic Inverse Rendering of Complex Facade via Aerial 3D Scanning—0
NePF: Neural Photon Field for Single-Stage Inverse Rendering—0
RENI++ A Rotation-Equivariant, Scale-Invariant, Natural Illumination PriorCode1
Single-Image 3D Human Digitization with Shape-Guided Diffusion—0
DeepShaRM: Multi-View Shape and Reflectance Map Recovery Under Unknown Lighting—0
Stanford-ORB: A Real-World 3D Object Inverse Rendering BenchmarkCode1
SIRe-IR: Inverse Rendering for BRDF Reconstruction with Shadow and Illumination Removal in High-Illuminance ScenesCode1
Diffusion Posterior Illumination for Ambiguity-aware Inverse RenderingCode1
Joint Sampling and Optimisation for Inverse Rendering—0
Self-Calibrating, Fully Differentiable NLOS Inverse RenderingCode1
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
Mesh Density Adaptation for Template-based Shape ReconstructionCode1
Measured Albedo in the Wild: Filling the Gap in Intrinsics Evaluation—0
UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video—0
Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects—0
Robust Category-Level 3D Pose Estimation from Synthetic Data—0
Eclipse: Disambiguating Illumination and Materials using Unintended Shadows—0
NOVUM: Neural Object Volumes for Robust Object ClassificationCode0
Inverse Rendering of Translucent Objects using Physical and Neural RenderersCode1
Inverse Global Illumination using a Neural Radiometric Prior—0
ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering—0
Neural-PBIR Reconstruction of Shape, Material, and Illumination—0
Pointersect: Neural Rendering with Cloud-Ray Intersection—0
TensoIR: Tensorial Inverse RenderingCode2
Segment Anything in 3D with Radiance FieldsCode3
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting EstimationCode1
Light Sampling Field and BRDF Representation for Physically-based Neural RenderingCode0
Inferring Fluid Dynamics via Inverse Rendering—0
Neural Fields meet Explicit Geometric Representation for Inverse Rendering of Urban Scenes—0
Neural Microfacet Fields for Inverse Rendering—0
NeFII: Inverse Rendering for Reflectance Decomposition with Near-Field Indirect IlluminationCode1
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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