IEEE

Expert-Enhanced Masked Point Modeling for Point Cloud Self-Supervised Learning

Abstract: Recently, learning-based point cloud analysis has played a crucial role in robotic perception. Masked Point Modeling (MPM), owing to its powerful representational capabilities, has become ...
IEEE

Self-positioned Point Feature Retrospective Transformer: An Efficient and Fine-Grained Framework for Point Cloud Modeling

Transformers have achieved remarkable success in computer vision tasks. However, directly applying them to point cloud processing remains challenging due to their high computational complexity and the ...
Frontiers

Research on the optimal layout form and optimization of trees in the main square of an urban campus based on thermal environment simulation

1 School of Architecture, Tianjin Chengjian University, Tianjin, China 2 Department of Ornamental Horticulture and Landscape Architecture, College of Horticulture, China Agricultural University, ...
Frontiers

A Leaf Modeling and Multi-Scale Remeshing Method for Visual Computation via Hierarchical Parametric Vein and Margin Representation

This paper introduces a novel hierarchical structured representation for leaf modeling and proposes a corresponding multi-resolution remeshing method for large-scale visual computation. Leaf modeling ...
Engadget

OpenAI releases Point-E, which is like DALL-E but for 3D modeling

OpenAI releases Point-E, which is like DALL-E but for 3D modeling Its resolution isn't great but it's up to two magnitudes faster than competing systems. Andrew Tarantola Former Senior Editor Updated ...