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 201–225 of 271 papers

TitleStatusHype
Modeling Clothing as a Separate Layer for an Animatable Human Avatar—0
Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects—0
Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering—0
Flash-Splat: 3D Reflection Removal with Flash Cues and Gaussian Splats—0
G3FA: Geometry-guided GAN for Face Animation—0
GAN2X: Non-Lambertian Inverse Rendering of Image GANs—0
GaNI: Global and Near Field Illumination Aware Neural Inverse Rendering—0
Generative Detail Enhancement for Physically Based Materials—0
GenLit: Reformulating Single-Image Relighting as Video Generation—0
GeoSplatting: Towards Geometry Guided Gaussian Splatting for Physically-based Inverse Rendering—0
GI-GS: Global Illumination Decomposition on Gaussian Splatting for Inverse Rendering—0
GlossGau: Efficient Inverse Rendering for Glossy Surface with Anisotropic Spherical Gaussian—0
GlossyGS: Inverse Rendering of Glossy Objects with 3D Gaussian Splatting—0
GroomLight: Hybrid Inverse Rendering for Relightable Human Hair Appearance Modeling—0
GS-ROR^2: Bidirectional-guided 3DGS and SDF for Reflective Object Relighting and Reconstruction—0
GUS-IR: Gaussian Splatting with Unified Shading for Inverse Rendering—0
Hardware Acceleration of Neural Graphics—0
FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions—0
HiNeuS: High-fidelity Neural Surface Mitigating Low-texture and Reflective Ambiguity—0
Holistic Inverse Rendering of Complex Facade via Aerial 3D Scanning—0
Identity-Expression Ambiguity in 3D Morphable Face Models—0
Spatially and color consistent environment lighting estimation using deep neural networks for mixed reality—0
Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences using Transformer Networks—0
Spectral MVIR: Joint Reconstruction of 3D Shape and Spectral Reflectance—0
SS-SfP:Neural Inverse Rendering for Self Supervised Shape from (Mixed) Polarization—0
Show:102550
← PrevPage 9 of 11Next →

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