Boosting Diffusion Models with Moving Average Sampling in Frequency Domain
Diffusion models have recently brought a powerful revolution in image generation. Despite
showing impressive generative capabilities most of these models rely on the current sample …
showing impressive generative capabilities most of these models rely on the current sample …
Debias the training of diffusion models
Diffusion models have demonstrated compelling generation quality by optimizing the
variational lower bound through a simple denoising score matching loss. In this paper, we …
variational lower bound through a simple denoising score matching loss. In this paper, we …
Unmasking Bias in Diffusion Model Training
H Yu, L Shen, J Huang, H Li, F Zhao - European Conference on Computer …, 2024 - Springer
Denoising diffusion models have emerged as a dominant approach for image generation,
however they still suffer from slow convergence in training and color shift issues in sampling …
however they still suffer from slow convergence in training and color shift issues in sampling …
Score-based Generative Models with Adaptive Momentum
Score-based generative models have demonstrated significant practical success in data-
generating tasks. The models establish a diffusion process that perturbs the ground truth …
generating tasks. The models establish a diffusion process that perturbs the ground truth …
[图书][B] Computer Vision-ECCV 2024: 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXIV.
A Leonardis - 2024 - books.google.com
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes
the refereed proceedings of the 18th European Conference on Computer Vision, ECCV …
the refereed proceedings of the 18th European Conference on Computer Vision, ECCV …
Enhancing Histopathology Image Generation with Diffusion Generative Models: A Comprehensive Study
D Thakkar - 2024 - spectrum.library.concordia.ca
The field of histopathology faces significant challenges due to the limited availability of data,
which is often not publicly accessible due to privacy issues. The scarcity of high-quality …
which is often not publicly accessible due to privacy issues. The scarcity of high-quality …