๐ŸŽ“How I Study AIHISA
๐Ÿ“–Read
๐Ÿ“„Papers๐Ÿ“ฐBlogs๐ŸŽฌCourses
๐Ÿ’กLearn
๐Ÿ›ค๏ธPaths๐Ÿ“šTopics๐Ÿ’กConcepts๐ŸŽดShorts
๐ŸŽฏPractice
๐Ÿ“Daily Log๐ŸŽฏPrompts๐Ÿง Review
SearchSettings
How I Study AI - Learn AI Papers & Lectures the Easy Way

Papers2

AllBeginnerIntermediateAdvanced
All SourcesarXiv
#rotary positional encoding

Utonia: Toward One Encoder for All Point Clouds

Intermediate
Yujia Zhang, Xiaoyang Wu et al.Mar 3arXiv

Utonia is a single brain (encoder) that learns from many kinds of 3D point clouds, like indoor rooms, outdoor streets, tiny toys, and even city maps.

#Utonia#point cloud#self-supervised learning

UltraShape 1.0: High-Fidelity 3D Shape Generation via Scalable Geometric Refinement

Intermediate
Tanghui Jia, Dongyu Yan et al.Dec 24arXiv

UltraShape 1.0 is a two-step 3D generator that first makes a simple overall shape and then zooms in to add tiny details.

#3D diffusion#coarse-to-fine generation#voxel-based refinement