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 26–50 of 271 papers

TitleStatusHype
The Sky's the Limit: Re-lightable Outdoor Scenes via a Sky-pixel Constrained Illumination Prior and Outside-In VisibilityCode1
RENI++ A Rotation-Equivariant, Scale-Invariant, Natural Illumination PriorCode1
Stanford-ORB: A Real-World 3D Object Inverse Rendering BenchmarkCode1
SIRe-IR: Inverse Rendering for BRDF Reconstruction with Shadow and Illumination Removal in High-Illuminance ScenesCode1
Diffusion Posterior Illumination for Ambiguity-aware Inverse RenderingCode1
Self-Calibrating, Fully Differentiable NLOS Inverse RenderingCode1
Mesh Density Adaptation for Template-based Shape ReconstructionCode1
Inverse Rendering of Translucent Objects using Physical and Neural RenderersCode1
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting EstimationCode1
NeFII: Inverse Rendering for Reflectance Decomposition with Near-Field Indirect IlluminationCode1
DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse RenderingCode1
WildLight: In-the-wild Inverse Rendering with a FlashlightCode1
Efficient Meshy Neural Fields for Animatable Human AvatarsCode1
MAIR: Multi-view Attention Inverse Rendering with 3D Spatially-Varying Lighting EstimationCode1
Learning a 3D Morphable Face Reflectance Model from Low-cost DataCode1
NDJIR: Neural Direct and Joint Inverse Rendering for Geometry, Lights, and Materials of Real ObjectCode1
Multi-view Inverse Rendering for Large-scale Real-world Indoor ScenesCode1
IBL-NeRF: Image-Based Lighting Formulation of Neural Radiance FieldsCode1
IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View SynthesisCode1
Polarimetric Inverse Rendering for Transparent Shapes ReconstructionCode1
Sobolev Training for Implicit Neural Representations with Approximated Image DerivativesCode1
Self-calibrating Photometric Stereo by Neural Inverse RenderingCode1
Sparse Ellipsometry: Portable Acquisition of Polarimetric SVBRDF and Shape with Unstructured Flash PhotographyCode1
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collectionsCode1
Multiview Textured Mesh Recovery by Differentiable RenderingCode1
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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