Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Vuong, Long Tung"'
Autor:
Doan, Khanh, Vuong, Long Tung, Nguyen, Tuan, Bui, Anh Tuan, Tran, Quyen, Do, Thanh-Toan, Phung, Dinh, Le, Trung
Diffusion models (DM) have become fundamental components of generative models, excelling across various domains such as image creation, audio generation, and complex data interpolation. Signal-to-Noise diffusion models constitute a diverse family cov
Externí odkaz:
http://arxiv.org/abs/2408.04221
Autor:
Nguyen, Van-Anh, Dinh, Khanh Pham, Vuong, Long Tung, Do, Thanh-Toan, Tran, Quan Hung, Phung, Dinh, Le, Trung
Recently vision transformers (ViT) have been applied successfully for various tasks in computer vision. However, important questions such as why they work or how they behave still remain largely unknown. In this paper, we propose an effective visuali
Externí odkaz:
http://arxiv.org/abs/2210.07646
Although two-stage Vector Quantized (VQ) generative models allow for synthesizing high-fidelity and high-resolution images, their quantization operator encodes similar patches within an image into the same index, resulting in a repeated artifact for
Externí odkaz:
http://arxiv.org/abs/2209.09002
Estimating the parameters of a probabilistic directed graphical model from incomplete data remains a long-standing challenge. This is because, in the presence of latent variables, both the likelihood function and posterior distribution are intractabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e732f5c065c82961c78dca0a80f6a99d
http://arxiv.org/abs/2305.15927
http://arxiv.org/abs/2305.15927