MatSynth: A Modern PBR Materials Dataset
원문 초록
We introduce MatSynth, a dataset of 4,000+ CC0 ultra-high resolution PBR materials. Materials are crucial components of virtual relightable assets, defining the interaction of light at the surface of geometries. Given their importance, significant research effort was dedicated to their representation, creation and acquisition. However, in the past 6 years, most research in material acquisiton or generation relied either on the same unique dataset, or on company-owned huge library of procedural materials. With this dataset we propose a significantly larger, more diverse, and higher resolution set of materials than previously publicly available. We carefully discuss the data collection process and demonstrate the benefits of this dataset on material acquisition and generation applications. The complete data further contains metadata with each material's origin, license, category, tags, creation method and, when available, descriptions and physical size, as well as 3M+ renderings of the augmented materials, in 1K, under various environment lightings. The MatSynth dataset is released through the project page at: https://www.gvecchio.com/matsynth.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
MatFuse: Controllable Material Generation with Diffusion Models
Multi-view Gradient Consistency for SVBRDF Estimation of Complex Scenes under Natural Illumination
SurfaceNet: Adversarial SVBRDF Estimation from a Single Image
Single-image Reflectance and Transmittance Estimation from Any Flatbed Scanner
MatFusion: A Generative Diffusion Model for SVBRDF Capture
UMat: Uncertainty-Aware Single Image High Resolution Material Capture
토론
이 논문과 연결된 포럼 글이 아직 없습니다.