1、Latent空间中特征的约束: 本文受到"Taming Transformers for High-Resolution Image Synthesis"的启发构建的autoencoder,此外本文对训练的autoencoder的隐空间进行了约束,其目的是:avoid arbitrarily high-variance latent spaces。我个人的理解是使得Latent空间不要太过离谱/复杂而导致难以进行去噪。作者实验了两种约束: ...
图像合成是计算机视觉中的一个重要问题。谷歌大脑的Ian Goodfellow等人在他们的最新研究中提出“自注意力生成对抗网络”(SAGAN),将自注意力机制引入到卷积GAN中,作为卷积的补充,在ImageNet多类别图像合成任务中取得了最优的结果。 论文地址:arxiv.org/pdf/1805.0831 图像合成(Image synthesis)是计算机视觉中的一个重要...
A list of awesome tools, ideas, prompt engineering tools, colabs, models, and helpers for the prompt designer playing with aiArt and image synthesis. Covers Dalle2, MidJourney, StableDiffusion, and open source tools. Many of these tools come with "batteries included" and won't include colabs...
Image synthesis refers to the process of generating new images based on existing data or models. AI generated definition based on:Handbook of Medical Image Computing and Computer Assisted Intervention,2020 About this page Add to MendeleySet alert ...
3、Taming Transformers for High-Resolution Image Synthesis 论文链接:https://compvis.github.io/taming-transformers/ 代码地址:https://github.com/CompVis/taming-transformers 视频解读:https://youtu.be/JfUTd8fjtX8 4、Thinking Fast And Slow in AI ...
BigGAN Large Scale GAN Training for High Fidelity Natural Image Synthesis. Andrew Brock, Jeff Donahue, Karen Simonyan. ICLR 2019. [PDF] Cited:4748 StyleGAN2 Analyzing and Improving the Image Quality of StyleGAN. Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo ...
3、Taming Transformers for High-Resolution Image Synthesis https://compvis.github.io/taming-transformers/ 本文将 GAN 和卷积方法的效率与Transformer的表达能力相结合,为语义引导的高质量图像合成提供了一种强大且省时的方法。 4、Thinking Fast And Slow in AI ...
In many clinical and research settings, the scarcity of high-quality medical imaging datasets has hampered the potential of artificial intelligence (AI) clinical applications. This issue is particularly pronounced in less common conditions, underrepresen
Realistic image synthesis based on deep learning is an invaluable technique for developing high-performance computer aided diagnosis systems while protecting patient privacy. However, training a generative adversarial network (GAN) for image synthesis remains challenging because of the large amounts of data...
code:https://github.com/clovaai/stargan-v2 cite: @inproceedings{DBLP:conf/cvpr/ChoiUYH20, author = {Yunjey Choi and Youngjung Uh and Jaejun Yoo and Jung{-}Woo Ha}, title = {StarGAN v2: Diverse Image Synthesis for Multiple Domains}, ...