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 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
GS-IR: 3D Gaussian Splatting for Inverse RenderingCode2
ADOP: Approximate Differentiable One-Pixel Point RenderingCode2
Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and DenoisingCode2
Intrinsic Image Decomposition via Ordinal ShadingCode2
TensoIR: Tensorial Inverse RenderingCode2
Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object RelightingCode2
Modular Primitives for High-Performance Differentiable RenderingCode2
Extracting Triangular 3D Models, Materials, and Lighting From ImagesCode2
Modeling Indirect Illumination for Inverse RenderingCode1
RENI++ A Rotation-Equivariant, Scale-Invariant, Natural Illumination PriorCode1
NDJIR: Neural Direct and Joint Inverse Rendering for Geometry, Lights, and Materials of Real ObjectCode1
PhyIR: Physics-Based Inverse Rendering for Panoramic Indoor ImagesCode1
NeAT: Neural Adaptive TomographyCode1
Polarimetric Inverse Rendering for Transparent Shapes ReconstructionCode1
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collectionsCode1
A Level Set Theory for Neural Implicit Evolution under Explicit FlowsCode1
Outdoor inverse rendering from a single image using multiview self-supervisionCode1
IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View SynthesisCode1
Invertible Neural BRDF for Object Inverse RenderingCode1
MAIR++: Improving Multi-view Attention Inverse Rendering with Implicit Lighting RepresentationCode1
Materialist: Physically Based Editing Using Single-Image Inverse RenderingCode1
A Morphable Face Albedo ModelCode1
MAIR: Multi-view Attention Inverse Rendering with 3D Spatially-Varying Lighting EstimationCode1
Advances in Neural RenderingCode1
Mesh Density Adaptation for Template-based Shape ReconstructionCode1
IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray TracingCode1
Multi-view Inverse Rendering for Large-scale Real-world Indoor ScenesCode1
Learning a 3D Morphable Face Reflectance Model from Low-cost DataCode1
PBR-NeRF: Inverse Rendering with Physics-Based Neural FieldsCode1
NeFII: Inverse Rendering for Reflectance Decomposition with Near-Field Indirect IlluminationCode1
Uncertainty for SVBRDF Acquisition using Frequency AnalysisCode1
A General Albedo Recovery Approach for Aerial Photogrammetric Images through Inverse RenderingCode1
High-Quality Mesh Blendshape Generation from Face Videos via Neural Inverse RenderingCode1
GIR: 3D Gaussian Inverse Rendering for Relightable Scene FactorizationCode1
NeRD: Neural Reflectance Decomposition from Image CollectionsCode1
Building 3D Morphable Models from a Single ScanCode1
Multiview Textured Mesh Recovery by Differentiable RenderingCode1
Differentiable Programming for Hyperspectral Unmixing using a Physics-based Dispersion ModelCode1
IBL-NeRF: Image-Based Lighting Formulation of Neural Radiance FieldsCode1
Efficient Meshy Neural Fields for Animatable Human AvatarsCode1
Inverse Rendering of Translucent Objects using Physical and Neural RenderersCode1
Diffusion Posterior Illumination for Ambiguity-aware Inverse RenderingCode1
InverseRenderNet: Learning single image inverse renderingCode1
Dynamic Scene Understanding through Object-Centric Voxelization and Neural RenderingCode1
DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse RenderingCode1
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting EstimationCode1
Learning Inverse Rendering of Faces from Real-world VideosCode1
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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