Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch. Yannic Kilcher summary | AssemblyAI explainer The main novelty seems to be an extra layer of indirection with the prior network (whether it is an autoregressive transformer or a diffusion network), ...
Official Pytorch implementation for our paperDF-GAN: A Simple and Effective Baseline for Text-to-Image SynthesisbyMing Tao,Hao Tang,Fei Wu,Xiao-Yuan Jing,Bing-Kun Bao,Changsheng Xu. News! [CVPR2023]Our new simple and effective model GALIP (paper link,code link) achieves comparable results to...
Python and ML Libraries: Experience with libraries such as PyTorch, Hugging Face, or TensorFlow. Evaluation Metrics: Awareness of image synthesis evaluation metrics (e.g., FID, CLIP score). Analysis and Results In Multi-Instance Generation (MIG), users provide the generation models with a glo...
9、MIGC: Multi-Instance Generation Controller for Text-to-Image Synthesis 提出一个多实例生成(MIG)任务,同时在一张图像中生成具有多样控制的多个实例。给定一组预定义的坐标及其相应的描述,该任务是确保生成的实例准确位于指定的位置,并且所有实例的属性都与其相应的描述相符。这扩展了当前单实例生成研究的范围,将...
(引自:Explaining the code of the popular text-to-image algorithm (VQGAN+CLIP in PyTorch) | by Alexa Steinbrück | Medium) 总结:VQGAN+CLIP实现了 图像生成 与 条件控制 解耦,充分利用CLIP预训练大模型的优势,但代价是需要走inference-by-optimization模式,计算压力加大。
PyTorch: An Im- perative Style, High-Performance Deep Learning Library. In Advances in Neural Information Processing Systems, 2019. [42] Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, and Dani Lischinski. StyleCLIP: Text-Driven Manipulation of StyleGAN Imag...
https://github.com/ndb796/ CelebA-HQ-Face-Identity-and-Attributes- Recognition-PyTorch. [3] Midjourney. https://www.midjourney.com. [4] Stable Diffusion. https://github.com/Stability- AI/stablediffusion. [5] Fernando Amat, Ashok Chandrashekar, Tony Je...
code2:https://github.com/lucidrains/DALLE-pytorch 11、Cross-Modal Contrastive Learning for Text-to-Image Generation《用于文本到图像生成的跨模态对比学习》 论文地址:https://arxiv.org/pdf/2101.04702v4.pdf code:https://github.com/google-research/xmcgan_image_generation ...
Hierarchical Text-Conditional Image Generation with CLIP Latents lucidrains/DALLE2-pytorch• •13 Apr 2022 Contrastive models like CLIP have been shown to learn robust representations of images that capture both semantics and style. 7 Paper Code...
This post will walk you through a workshop that provides hands-on experience with the Stable Diffusion model to create images based on a text prompt. You will learn how to leverage PyTorch* with Intel® Gaudi® AI Accelerators to run inference w...