AutoEncoding Tree for City Generation and Applications

AutoEncoding Tree for City Generation and Applications

27 September 2023

Sheung Lung Chan

Hang Zhao

Papers citing "AutoEncoding Tree for City Generation and Applications"

5 / 5 papers shown

Title
RS-RAG: Bridging Remote Sensing Imagery and Comprehensive Knowledge with a Multi-Modal Dataset and Retrieval-Augmented Generation Model Congcong Wen Yiting Lin Xiaokang Qu Nan Li Yong Liao Hui Lin Xiang Li 29 0 0 07 Apr 2025
FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models Hui Lin Chao Zhang Danfeng Hong Kexin Dong Congcong Wen FedML VLM 52 4 0 05 Jan 2025
Automated LoD-2 Model Reconstruction from Very-HighResolution Satellite-derived Digital Surface Model and Orthophoto Sheng Gui R. Qin 3DV 33 36 0 08 Sep 2021
SUM: A Benchmark Dataset of Semantic Urban Meshes Weixiao Gao Liangliang Nan B. Boom H. Ledoux 3DV 90 56 0 27 Feb 2021
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,109 0 02 Dec 2016