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 151–200 of 271 papers

TitleStatusHype
Robust Category-Level 3D Pose Estimation from Synthetic Data—0
Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior—0
Scattering Parameters and Surface Normals from Homogeneous Translucent Materials using Photometric Stereo—0
ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering—0
ZS-SRT: An Efficient Zero-Shot Super-Resolution Training Method for Neural Radiance Fields—0
3D Reconstruction with Fast Dipole Sums—0
A Bayesian Inference Framework for Procedural Material Parameter Estimation—0
Accelerating Inverse Rendering By Using a GPU and Reuse of Light Paths—0
Acquisition of Spatially-Varying Reflectance and Surface Normals via Polarized Reflectance Fields—0
RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering—0
A General Scattering Phase Function for Inverse Rendering—0
A Simple Approach to Differentiable Rendering of SDFs—0
A Theory of Topological Derivatives for Inverse Rendering of Geometry—0
BG-Triangle: Bézier Gaussian Triangle for 3D Vectorization and Rendering—0
BG-Triangle: Bezier Gaussian Triangle for 3D Vectorization and Rendering—0
Blind Gain and Phase Calibration via Sparse Spectral Methods—0
Blind Inversion using Latent Diffusion Priors—0
Channel-wise Noise Scheduled Diffusion for Inverse Rendering in Indoor Scenes—0
CLA-NeRF: Category-Level Articulated Neural Radiance Field—0
CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images—0
Deep Direct Volume Rendering: Learning Visual Feature Mappings From Exemplary Images—0
Deep Face Feature for Face Alignment—0
Deep Generative Models: Deterministic Prediction with an Application in Inverse Rendering—0
Deep Learning compatible Differentiable X-ray Projections for Inverse Rendering—0
Deep Polarization Cues for Single-shot Shape and Subsurface Scattering Estimation—0
DeepShaRM: Multi-View Shape and Reflectance Map Recovery Under Unknown Lighting—0
Deep Structure for end-to-end inverse rendering—0
Deep Uncalibrated Photometric Stereo via Inter-Intra Image Feature Fusion—0
DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering—0
DiffCSG: Differentiable CSG via Rasterization—0
Differentiable Inverse Rendering with Interpretable Basis BRDFs—0
Differentiable Neural Radiosity—0
Differentiable Point-based Inverse Rendering—0
Differentiable Rendering of Neural SDFs through Reparameterization—0
Differentiable Surface Rendering via Non-Differentiable Sampling—0
Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of Illumination and Reflectance—0
Diffusion Renderer: Neural Inverse and Forward Rendering with Video Diffusion Models—0
DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models—0
Digital Twin Catalog: A Large-Scale Photorealistic 3D Object Digital Twin Dataset—0
Physics-based Indirect Illumination for Inverse Rendering—0
Dressi: A Hardware-Agnostic Differentiable Renderer with Reactive Shader Packing and Soft Rasterization—0
Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-training via Differentiable Rendering of Line Segments—0
Eclipse: Disambiguating Illumination and Materials using Unintended Shadows—0
Efficient Multi-View Inverse Rendering Using a Hybrid Differentiable Rendering Method—0
Efficient multi-view training for 3D Gaussian Splatting—0
Efficient Perspective-Correct 3D Gaussian Splatting Using Hybrid Transparency—0
End-to-end 3D shape inverse rendering of different classes of objects from a single input image—0
Environment Maps Editing using Inverse Rendering and Adversarial Implicit Functions—0
Epi-NAF: Enhancing Neural Attenuation Fields for Limited-Angle CT with Epipolar Consistency Conditions—0
ESR-NeRF: Emissive Source Reconstruction Using LDR Multi-view Images—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