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 51–75 of 271 papers

TitleStatusHype
Efficient Perspective-Correct 3D Gaussian Splatting Using Hybrid Transparency—0
RelitLRM: Generative Relightable Radiance for Large Reconstruction Models—0
Flash-Splat: 3D Reflection Removal with Flash Cues and Gaussian Splats—0
GI-GS: Global Illumination Decomposition on Gaussian Splatting for Inverse Rendering—0
RISE-SDF: a Relightable Information-Shared Signed Distance Field for Glossy Object Inverse Rendering—0
MaterialFusion: Enhancing Inverse Rendering with Material Diffusion Priors—0
Colorful Diffuse Intrinsic Image Decomposition in the WildCode3
Phys3DGS: Physically-based 3D Gaussian Splatting for Inverse Rendering—0
Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering—0
A General Albedo Recovery Approach for Aerial Photogrammetric Images through Inverse RenderingCode1
DiffCSG: Differentiable CSG via Rasterization—0
MERLiN: Single-Shot Material Estimation and Relighting for Photometric Stereo—0
G3FA: Geometry-guided GAN for Face Animation—0
Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering—0
Progressive Radiance Distillation for Inverse Rendering with Gaussian Splatting—0
Many-Worlds Inverse Rendering—0
MAIR++: Improving Multi-view Attention Inverse Rendering with Implicit Lighting RepresentationCode1
PIR: Photometric Inverse Rendering with Shading Cues Modeling and Surface Reflectance RegularizationCode1
PBIR-NIE: Glossy Object Capture under Non-Distant Lighting—0
Dynamic Scene Understanding through Object-Centric Voxelization and Neural RenderingCode1
UniVoxel: Fast Inverse Rendering by Unified Voxelization of Scene RepresentationCode0
Surfel-based Gaussian Inverse Rendering for Fast and Relightable Dynamic Human Reconstruction from Monocular Video—0
SS-SfP:Neural Inverse Rendering for Self Supervised Shape from (Mixed) Polarization—0
Deep Polarization Cues for Single-shot Shape and Subsurface Scattering Estimation—0
Multi-times Monte Carlo Rendering for Inter-reflection Reconstruction—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