Extracting Neural Materials from Images

arXiv:2606.26715 · cs.CV, cs.GR · Submitted 2026-06-25 · Read on arXiv

cs.CV, cs.GR

Submitted: 2026-06-25

Updated: 2026-09-27

Terminology

• Neural Materials — 38× in this paper
• Regularization — 20× in this paper · explained in 3 episodes
• Test-Time Optimization — 17× in this paper
• Computer Vision and Pattern Recognition — 12× in this paper
• Latent Space — 9× in this paper · explained in 7 episodes
• Gaussian Splatting — 4× in this paper · explained in 4 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Diffusion Model — 3× in this paper · explained in 8 episodes
• Diffusion Models — 3× in this paper · explained in 6 episodes
• Digital Twin — 3× in this paper · explained in 5 episodes
• Large Material Reconstruction Model — 3× in this paper
• 3D Gaussian Splatting — 2× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Aleatoric Uncertainty — 2× in this paper · explained in 5 episodes
• Digital Twin Catalog — 2× in this paper
• Metallicity — 2× in this paper · explained in 3 episodes
• Anisotropy — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• IEEE International Conference on Computer Vision — 1× in this paper
• In European Conference on Computer Vision — 1× in this paper
• In International Conference on Learning Representations — 1× in this paper
• Steering — 1× in this paper · explained in 2 episodes
• Two-Stage Framework — 1× in this paper · explained in 2 episodes
• Two-stage training — 1× in this paper · explained in 2 episodes

Sources

• Neural Reflectance Fields for Appearance Acquisition
• Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Rendering
• Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material
• Wan: Open and Advanced Large-Scale Video Generative Models
• MeshLRM: Large Reconstruction Model for High-Quality Meshes
• Toward Richer Material Generation via Procedural Data Enhancement
• RelitLRM: Generative Relightable Radiance for Large Reconstruction Models
• TexVerse: A Universe of 3D Objects with High-Resolution Textures

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