no code implementations • 5 Jul 2024 • Jian Qian, Bingyu Xie, Biao Wan, Minhao Li, Miao Sun, Patrick Yin Chiang
TimeLDM is composed of a variational autoencoder that encodes time series into an informative and smoothed latent content and a latent diffusion model operating in the latent space to generate latent information.
1 code implementation • ICCV 2023 • Minhao Li, Zheng Qin, Zhirui Gao, Renjiao Yi, Chenyang Zhu, Yulan Guo, Kai Xu
The commonly adopted detect-then-match approach to registration finds difficulties in the cross-modality cases due to the incompatible keypoint detection and inconsistent feature description.