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 76–100 of 271 papers

TitleStatusHype
Deep Learning compatible Differentiable X-ray Projections for Inverse Rendering—0
Efficient Multi-View Inverse Rendering Using a Hybrid Differentiable Rendering Method—0
Deep Generative Models: Deterministic Prediction with an Application in Inverse Rendering—0
3D Gaussian Inverse Rendering with Approximated Global Illumination—0
Eclipse: Disambiguating Illumination and Materials using Unintended Shadows—0
Deep Face Feature for Face Alignment—0
Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-training via Differentiable Rendering of Line Segments—0
Dressi: A Hardware-Agnostic Differentiable Renderer with Reactive Shader Packing and Soft Rasterization—0
Deep Direct Volume Rendering: Learning Visual Feature Mappings From Exemplary Images—0
Physics-based Indirect Illumination for Inverse Rendering—0
Digital Twin Catalog: A Large-Scale Photorealistic 3D Object Digital Twin Dataset—0
IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination—0
Inferring Fluid Dynamics via Inverse Rendering—0
DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models—0
Diffusion Renderer: Neural Inverse and Forward Rendering with Video Diffusion Models—0
A Bayesian Inference Framework for Procedural Material Parameter Estimation—0
Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields—0
IllumiNeRF: 3D Relighting Without Inverse Rendering—0
Identity-Expression Ambiguity in 3D Morphable Face Models—0
Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of Illumination and Reflectance—0
Holistic Inverse Rendering of Complex Facade via Aerial 3D Scanning—0
CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images—0
HiNeuS: High-fidelity Neural Surface Mitigating Low-texture and Reflective Ambiguity—0
Differentiable Surface Rendering via Non-Differentiable Sampling—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