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Found 6 papers, 3 papers with code
MatSynth: A Modern PBR Materials Dataset
We introduce MatSynth, a dataset of 4, 000+ CC0 ultra-high resolution PBR materials.
ControlMat: A Controlled Generative Approach to Material Capture
Our generative approach further permits exploration of a variety of materials which could correspond to the input image, mitigating the unknown lighting conditions.
MatFuse: Controllable Material Generation with Diffusion Models
Creating high-quality materials in computer graphics is a challenging and time-consuming task, which requires great expertise.
MeT: A Graph Transformer for Semantic Segmentation of 3D Meshes
Polygonal meshes have become the standard for discretely approximating 3D shapes, thanks to their efficiency and high flexibility in capturing non-uniform shapes.
Deep Reinforcement Learning for Multi-Agent Interaction
The development of autonomous agents which can interact with other agents to accomplish a given task is a core area of research in artificial intelligence and machine learning.
SurfaceNet: Adversarial SVBRDF Estimation from a Single Image
In this paper we present SurfaceNet, an approach for estimating spatially-varying bidirectional reflectance distribution function (SVBRDF) material properties from a single image.
