title: Zero-shot Image-to-Image Translation accepted: Arxiv 2023 paper: https://arxiv.org/abs/2302.03027 code: https://github.com/pix2pixzero/pix2pix-zero 关键词:Zero-shot, Image-to-Image Translation, pretrained model, BLIP, CLIP, GPT-3, diffusion model, training-free, prompting-free 阅...
Zero-shot Image-to-Image Translation 零镜头图像到图像的转换 Large-scale text-to-image generative models have shown their remarkable ability to synthesize diverse and high-quality images. However, it is still challenging to directly apply these models for editing real images for two reasons. First,...
论文介绍 Zero-shot Image-to-Image Translation 关注微信公众号: DeepGoAI 项目地址:https://github.com/pix2pixzero/pix2pix-zero 论文地址:https://arxiv.org/abs/2302.03027 本文介绍了一种名为pix2pix-zero的图像到图像的翻译方法,它基于扩散模型,允许用户即时指定编辑方向(例如,将猫转换为狗),同时保持原...
In this work, we propose a zero-shot unsupervised image-to-image translation framework to address this limitation, by associating categories with their side information like attributes. To generalize the translator to previous unseen classes, we introduce two strategies for exploiting the space spanned...
pix2pix-zero Public Zero-shot Image-to-Image Translation [SIGGRAPH 2023] Python 995 77 pix2pixzero.github.io Public website HTML 1 1 Something went wrong, please refresh the page to try again. If the problem persists, check the GitHub status page or contact support. Footer...
Zero-Shot Text-to-Image Generation A. Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, I. Sutskever 2021 CogView: Mastering Text-to-Image Generation via Transformers Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang...
2023-02-14 2 AI Machine Learning & Data Science Research CMU & Adobe’s Pix2Pix-Zero Enables Training- and Prompt-Free Image-to-Image Translation In the new paper Zero-Shot Image-to-Image Translation, a team from Carnegie Mellon University and Adobe Research introduces pix2pix-zero, a ...
Zero-shotImage-to-image translationGenerative Adversarial NetworkImage-to-image translation models have shown remarkable ability on transferring images among different domains. Most of existing work follows the setting that the source domain and target domain keep the same at training and inference phases...
FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation Shuai Yang, Yifan Zhou, Ziwei Liu and Chen Change Loy in CVPR 2024 Project Page | Paper | Supplementary Video | Input Data and Video Results Abstract: The remarkable efficacy of text-to-image diffusion models has motivated...
They achieved zero-shot image segmentation by training a Transformer-based decoder on top of the CLIP model, which is kept frozen. The decoder takes in the CLIP representation of an image, and the CLIP representation of the thing you want to segment. Using these two inputs, the CLIPSeg ...