Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch - lucidrains/muse-maskgit-pytorch
Official implementation of Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation. Stable-Pose is a novel adapter that leverages vision transformers with a coarse-to-fine pose-masked self-attention strategy, specifically designed to efficiently manage precise pose controls during Te...
还有一些针对特定文本生成任务设计的指标,如图像描述生成任务中的CIDEr和SPICE指标、data-to-text中的相关指标等。 CIDEr 将每个句子都看作“文档”,将其表示成 Term Frequency Inverse Document Frequency(tf-idf)向量的形式,通过对每个n元组进行(TF-IDF) 权重计算,计算参照描述文本与生成描述文本的余弦相似度,来衡量...
from transformers import BertTokenizer, GPT2LMHeadModel, TextGenerationPipeline tokenizer = BertTokenizer.from_pretrained("uer/gpt2-chinese-poem") model = GPT2LMHeadModel.from_pretrained("uer/gpt2-chinese-poem") text_generator = TextGenerationPipeline(model, tokenizer) result = text_generator("昨日...
本文将以 ICDAR2015 Incidental Scene Text 中的Task 4.3: Word Recognition 单词识别子任务作为数据集,讲解如何使用transformer来实现一个简单的OCR文字识别任务,并从中体会transformer是如何应用到除分类以外更复杂的CV任务中的。 文章将大致从以下几个方面讲解: 数据集简介 数据分析与字符映射关系构建 如何将transformer...
Optimize Text and Image Generation Using PyTorch Learn how to speed up generative AI that runs on CPUs by setting key environment variables, by using ipex.llm.optimize() for a Llama 2 model and ipex.optimize() for a Stable Diffusion model. Read Build an End-to-End Language Identification wi...
(1) image sequence length and (2) number of image tokens num_text_tokens = 10000, # vocab size for text text_seq_len = 256, # text sequence length depth = 12, # should aim to be 64 heads = 16, # attention heads dim_head = 64, # attention head dimension attn_dropout = 0.1, ...
ax.text(bbox[0], bbox[1] -2,'{:s} {:.3f}'.format(class_name, score), bbox=dict(facecolor='blue', alpha=0.5), fontsize=14, color='white') plt.show() plt.close()# appendixclasses_pascal_voc = ['__background__','aeroplane','bicycle','bird','boat','bottle','bus','car...
The separate decoder enables more accurate reconstruction of the original image from the encoded representation.In natural language processing, the decoder separately written PyTorch autoencoder has been applied to various tasks, including text compression, language translation, and text generation. By ...
Controllable Text-to-Image Generation. Bowen Li,Xiaojuan Qi,Thomas Lukasiewicz,Philip H. S. Torr. University of Oxford In Neural Information Processing Systems, 2019. Data Training All code was developed and tested on CentOS 7 with Python 3.7 (Anaconda) and PyTorch 1.1. ...