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

Showing 101110 of 271 papers

TitleStatusHype
High-Quality Mesh Blendshape Generation from Face Videos via Neural Inverse RenderingCode1
Neural Rendering and Its Hardware Acceleration: A Review0
VMINer: Versatile Multi-view Inverse Rendering with Near- and Far-field Light Sources0
TurboSL: Dense Accurate and Fast 3D by Neural Inverse Structured Light0
Radar Fields: An Extension of Radiance Fields to SAR0
ZS-SRT: An Efficient Zero-Shot Super-Resolution Training Method for Neural Radiance Fields0
MonoNPHM: Dynamic Head Reconstruction from Monocular Videos0
IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray TracingCode1
GIR: 3D Gaussian Inverse Rendering for Relightable Scene FactorizationCode1
Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of Illumination and Reflectance0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural-PBIRHDR-PSNR26.01Unverified
2NVDiffRecMCHDR-PSNR24.43Unverified
3InvRenderHDR-PSNR23.76Unverified
4NeRFactorHDR-PSNR23.54Unverified
5NeRDHDR-PSNR23.29Unverified
6NVDiffRecHDR-PSNR22.91Unverified
7PhySGHDR-PSNR21.81Unverified