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 151–200 of 271 papers

TitleStatusHype
Robust Category-Level 3D Pose Estimation from Synthetic Data—0
Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior—0
Scattering Parameters and Surface Normals from Homogeneous Translucent Materials using Photometric Stereo—0
ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering—0
SfSNet: Learning Shape, Reflectance and Illuminance of Faces `in the Wild'—0
Shading Annotations in the Wild—0
Shading Meets Motion: Self-supervised Indoor 3D Reconstruction Via Simultaneous Shape-from-Shading and Structure-from-Motion—0
SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild—0
Simultaneous Estimation of Near IR BRDF and Fine-Scale Surface Geometry—0
Single-Image 3D Human Digitization with Shape-Guided Diffusion—0
Single-Shot Neural Relighting and SVBRDF Estimation—0
SIR: Multi-view Inverse Rendering with Decomposable Shadow for Indoor Scenes—0
Spatially and color consistent environment lighting estimation using deep neural networks for mixed reality—0
Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences using Transformer Networks—0
Spectral MVIR: Joint Reconstruction of 3D Shape and Spectral Reflectance—0
SS-SfP:Neural Inverse Rendering for Self Supervised Shape from (Mixed) Polarization—0
SuperCarver: Texture-Consistent 3D Geometry Super-Resolution for High-Fidelity Surface Detail Generation—0
SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering—0
Surfel-based Gaussian Inverse Rendering for Fast and Relightable Dynamic Human Reconstruction from Monocular Video—0
Survey of Deep Learning Methods for Inverse Problems—0
TileGen: Tileable, Controllable Material Generation and Capture—0
TransparentGS: Fast Inverse Rendering of Transparent Objects with Gaussians—0
TurboSL: Dense Accurate and Fast 3D by Neural Inverse Structured Light—0
Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces—0
Uni-Renderer: Unifying Rendering and Inverse Rendering Via Dual Stream Diffusion—0
Unveiling the Ambiguity in Neural Inverse Rendering: A Parameter Compensation Analysis—0
URAvatar: Universal Relightable Gaussian Codec Avatars—0
UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video—0
Vid2Avatar-Pro: Authentic Avatar from Videos in the Wild via Universal Prior—0
VMINer: Versatile Multi-view Inverse Rendering with Near- and Far-field Light Sources—0
Don't Splat your Gaussians: Volumetric Ray-Traced Primitives for Modeling and Rendering Scattering and Emissive Media—0
Weakly-supervised Single-view Image Relighting—0
3D Gaussian Inverse Rendering with Approximated Global Illumination—0
ZS-SRT: An Efficient Zero-Shot Super-Resolution Training Method for Neural Radiance Fields—0
3D Reconstruction with Fast Dipole Sums—0
A Bayesian Inference Framework for Procedural Material Parameter Estimation—0
Accelerating Inverse Rendering By Using a GPU and Reuse of Light Paths—0
Acquisition of Spatially-Varying Reflectance and Surface Normals via Polarized Reflectance Fields—0
RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering—0
A General Scattering Phase Function for Inverse Rendering—0
A Simple Approach to Differentiable Rendering of SDFs—0
A Theory of Topological Derivatives for Inverse Rendering of Geometry—0
BG-Triangle: Bézier Gaussian Triangle for 3D Vectorization and Rendering—0
BG-Triangle: Bezier Gaussian Triangle for 3D Vectorization and Rendering—0
Blind Gain and Phase Calibration via Sparse Spectral Methods—0
Blind Inversion using Latent Diffusion Priors—0
Channel-wise Noise Scheduled Diffusion for Inverse Rendering in Indoor Scenes—0
CLA-NeRF: Category-Level Articulated Neural Radiance Field—0
CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images—0
Deep Direct Volume Rendering: Learning Visual Feature Mappings From Exemplary Images—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