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 191–200 of 271 papers

TitleStatusHype
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