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 1–50 of 271 papers

TitleStatusHype
Colorful Diffuse Intrinsic Image Decomposition in the WildCode3
Inferring Articulated Rigid Body Dynamics from RGBD VideoCode3
Segment Anything in 3D with Radiance FieldsCode3
Intrinsic Image Decomposition via Ordinal ShadingCode2
ADOP: Approximate Differentiable One-Pixel Point RenderingCode2
Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and DenoisingCode2
Modular Primitives for High-Performance Differentiable RenderingCode2
GS-IR: 3D Gaussian Splatting for Inverse RenderingCode2
TensoIR: Tensorial Inverse RenderingCode2
Extracting Triangular 3D Models, Materials, and Lighting From ImagesCode2
Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object RelightingCode2
PBR-NeRF: Inverse Rendering with Physics-Based Neural FieldsCode1
RENI++ A Rotation-Equivariant, Scale-Invariant, Natural Illumination PriorCode1
Polarimetric Inverse Rendering for Transparent Shapes ReconstructionCode1
NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown IlluminationCode1
Dynamic Scene Understanding through Object-Centric Voxelization and Neural RenderingCode1
NeFII: Inverse Rendering for Reflectance Decomposition with Near-Field Indirect IlluminationCode1
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collectionsCode1
A Level Set Theory for Neural Implicit Evolution under Explicit FlowsCode1
Materialist: Physically Based Editing Using Single-Image Inverse RenderingCode1
Learning Inverse Rendering of Faces from Real-world VideosCode1
Modeling Indirect Illumination for Inverse RenderingCode1
DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse RenderingCode1
NeAT: Neural Adaptive TomographyCode1
A Morphable Face Albedo ModelCode1
NeRD: Neural Reflectance Decomposition from Image CollectionsCode1
Advances in Neural RenderingCode1
Outdoor inverse rendering from a single image using multiview self-supervisionCode1
PIR: Photometric Inverse Rendering with Shading Cues Modeling and Surface Reflectance RegularizationCode1
PhyIR: Physics-Based Inverse Rendering for Panoramic Indoor ImagesCode1
Invertible Neural BRDF for Object Inverse RenderingCode1
MAIR++: Improving Multi-view Attention Inverse Rendering with Implicit Lighting RepresentationCode1
Multi-view Inverse Rendering for Large-scale Real-world Indoor ScenesCode1
IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray TracingCode1
High-Quality Mesh Blendshape Generation from Face Videos via Neural Inverse RenderingCode1
A General Albedo Recovery Approach for Aerial Photogrammetric Images through Inverse RenderingCode1
IBL-NeRF: Image-Based Lighting Formulation of Neural Radiance FieldsCode1
IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View SynthesisCode1
Building 3D Morphable Models from a Single ScanCode1
InverseRenderNet: Learning single image inverse renderingCode1
Differentiable Programming for Hyperspectral Unmixing using a Physics-based Dispersion ModelCode1
Learning a 3D Morphable Face Reflectance Model from Low-cost DataCode1
Uncertainty for SVBRDF Acquisition using Frequency AnalysisCode1
MAIR: Multi-view Attention Inverse Rendering with 3D Spatially-Varying Lighting EstimationCode1
Diffusion Posterior Illumination for Ambiguity-aware Inverse RenderingCode1
Mesh Density Adaptation for Template-based Shape ReconstructionCode1
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting EstimationCode1
GIR: 3D Gaussian Inverse Rendering for Relightable Scene FactorizationCode1
Multiview Textured Mesh Recovery by Differentiable RenderingCode1
Efficient Meshy Neural Fields for Animatable Human AvatarsCode1
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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