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 76–100 of 271 papers

TitleStatusHype
3D Gaussian Inverse Rendering with Approximated Global Illumination—0
Learning 3D-Gaussian Simulators from RGB Videos—0
Locally Orderless Images for Optimization in Differentiable Rendering—0
BG-Triangle: Bézier Gaussian Triangle for 3D Vectorization and Rendering—0
Shadow Art Kanji: Inverse Rendering ApplicationCode0
Channel-wise Noise Scheduled Diffusion for Inverse Rendering in Indoor Scenes—0
GroomLight: Hybrid Inverse Rendering for Relightable Human Hair Appearance Modeling—0
SuperCarver: Texture-Consistent 3D Geometry Super-Resolution for High-Fidelity Surface Detail Generation—0
Vid2Avatar-Pro: Authentic Avatar from Videos in the Wild via Universal Prior—0
GlossGau: Efficient Inverse Rendering for Glossy Surface with Anisotropic Spherical Gaussian—0
Generative Detail Enhancement for Physically Based Materials—0
OMG: Opacity Matters in Material Modeling with Gaussian Splatting—0
NPSim: Nighttime Photorealistic Simulation From Daytime Images With Monocular Inverse Rendering and Ray Tracing—0
Multi-view 3D surface reconstruction from SAR images by inverse rendering—0
DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models—0
ROSA: Reconstructing Object Shape and Appearance Textures by Adaptive Detail TransferCode0
LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields—0
Diffusion Renderer: Neural Inverse and Forward Rendering with Video Diffusion Models—0
Shading Meets Motion: Self-supervised Indoor 3D Reconstruction Via Simultaneous Shape-from-Shading and Structure-from-Motion—0
BG-Triangle: Bezier Gaussian Triangle for 3D Vectorization and Rendering—0
IRGS: Inter-Reflective Gaussian Splatting with 2D Gaussian Ray Tracing—0
Uni-Renderer: Unifying Rendering and Inverse Rendering Via Dual Stream Diffusion—0
GenLit: Reformulating Single-Image Relighting as Video Generation—0
Acquisition of Spatially-Varying Reflectance and Surface Normals via Polarized Reflectance Fields—0
MaterialPicker: Multi-Modal Material Generation with Diffusion Transformers—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