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
A Morphable Face Albedo ModelCode1
PhyIR: Physics-Based Inverse Rendering for Panoramic Indoor ImagesCode1
Dynamic Scene Understanding through Object-Centric Voxelization and Neural RenderingCode1
Polarimetric Inverse Rendering for Transparent Shapes ReconstructionCode1
Efficient Meshy Neural Fields for Animatable Human AvatarsCode1
Advances in Neural RenderingCode1
Spelunking the Deep: Guaranteed Queries on General Neural Implicit Surfaces via Range AnalysisCode1
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collectionsCode1
MAIR: Multi-view Attention Inverse Rendering with 3D Spatially-Varying Lighting EstimationCode1
Self-calibrating Photometric Stereo by Neural Inverse RenderingCode1
GIR: 3D Gaussian Inverse Rendering for Relightable Scene FactorizationCode1
Inverse Rendering of Translucent Objects using Physical and Neural RenderersCode1
High-Quality Mesh Blendshape Generation from Face Videos via Neural Inverse RenderingCode1
Sparse Ellipsometry: Portable Acquisition of Polarimetric SVBRDF and Shape with Unstructured Flash PhotographyCode1
Spin-UP: Spin Light for Natural Light Uncalibrated Photometric StereoCode1
IBL-NeRF: Image-Based Lighting Formulation of Neural Radiance FieldsCode1
Triplet: Triangle Patchlet for Mesh-Based Inverse Rendering and Scene Parameters ApproximationCode1
SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the WildCode0
DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated ImagesCode0
Shadow Art Kanji: Inverse Rendering ApplicationCode0
ROSA: Reconstructing Object Shape and Appearance Textures by Adaptive Detail TransferCode0
NOVUM: Neural Object Volumes for Robust Object ClassificationCode0
All-frequency Full-body Human Image RelightingCode0
Physically Disentangled RepresentationsCode0
RenderNet: A deep convolutional network for differentiable rendering from 3D shapesCode0
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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