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 176–200 of 271 papers

TitleStatusHype
IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View SynthesisCode1
A General Scattering Phase Function for Inverse Rendering—0
Polarimetric Inverse Rendering for Transparent Shapes ReconstructionCode1
PRIF: Primary Ray-based Implicit Function—0
Deep Uncalibrated Photometric Stereo via Inter-Intra Image Feature Fusion—0
PS-NeRF: Neural Inverse Rendering for Multi-view Photometric Stereo—0
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
DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated ImagesCode0
GAN2X: Non-Lambertian Inverse Rendering of Image GANs—0
IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor ScenesCode0
TileGen: Tileable, Controllable Material Generation and Capture—0
Differentiable Rendering of Neural SDFs through Reparameterization—0
Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and DenoisingCode2
Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior—0
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collectionsCode1
Multiview Textured Mesh Recovery by Differentiable RenderingCode1
Physically-Based Editing of Indoor Scene Lighting from a Single Image—0
A Level Set Theory for Neural Implicit Evolution under Explicit FlowsCode1
Modeling Indirect Illumination for Inverse RenderingCode1
Physically Disentangled RepresentationsCode0
IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images—0
Dressi: A Hardware-Agnostic Differentiable Renderer with Reactive Shader Packing and Soft Rasterization—0
FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions—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