Shypd.aiThe largest open index of AI toolsawesome-3d-reconstruction-papers is a Research & Education tool that curates a collection of 3D reconstruction papers. It organizes papers by category, including object-level, scene-level, and neural-surface reconstruction.
Trending
About
awesome-3d-reconstruction-papers is a comprehensive collection of academic papers focused on 3D reconstruction within the deep learning era. This GitHub repository serves as a valuable resource for researchers and engineers, categorizing papers to facilitate easy navigation and discovery. The collection is organized into key areas such as object-level (single-view, multi-view, unsupervised), scene-level (single-view, multi-view), neural-surface, point-cloud, and RGB-D reconstruction, along with a survey section. Each entry typically includes the paper's representation, publisher, and links to project pages or code when available, making it an essential tool for staying updated on the latest advancements and methodologies in the field.
Capabilities
Pricing & Plans
Free · Open Source
Free
FAQs
Trending
