Generative AI Models is a comprehensive repository dedicated to the implementation of cutting-edge generative AI models using Python. It features various models, including those for image captioning and text-to-image generation, leveraging advanced architectures like Vision Transformers (ViT), GPT-2, an...
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. - huggingface/transformers
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 https://arxiv.org/abs/2010.06002 本文从...
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 https://arxiv.org/abs/2010.06002 本文从人类能...
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 ...
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 ...
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 https://arxiv.org/abs/2010.06002 本文从人类能...
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 ...
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 ...
Image Captioning based on Deep Learning Methods: A Survey. arXiv 2019 paper bib Yiyu Wang, Jungang Xu, Yingfei Sun, Ben He Referring Expression Comprehension: A Survey of Methods and Datasets. arXiv 2020 paper bib Yanyuan Qiao, Chaorui Deng, Qi Wu SECNLP: A Survey of Embeddings in Clin...