找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Computer Vision – ECCV 2022; 17th European Confer Shai Avidan,Gabriel Brostow,Tal Hassner Conference proceedings 2022 The Editor(s) (if app

[复制链接]
楼主: 太平间
发表于 2025-3-25 05:33:29 | 显示全部楼层
发表于 2025-3-25 11:09:09 | 显示全部楼层
发表于 2025-3-25 15:17:44 | 显示全部楼层
发表于 2025-3-25 19:07:13 | 显示全部楼层
,Multi-Curve Translator for High-Resolution Photorealistic Image Translation,onal cost. Besides, MCT is a plug-in approach that utilizes existing base models and requires only replacing their output layers. Experiments demonstrate that the MCT variants can process 4K images in real-time and achieve comparable or even better performance than the base models on various photorealistic image-to-image translation tasks.
发表于 2025-3-25 21:27:56 | 显示全部楼层
,Cross Attention Based Style Distribution for Controllable Person Image Synthesis,ode the source appearance accurately, the self attention among different semantic styles is also added. The effectiveness of our model is validated quantitatively and qualitatively on pose transfer and virtual try-on tasks. Codes are available at ..
发表于 2025-3-26 04:08:25 | 显示全部楼层
发表于 2025-3-26 04:33:46 | 显示全部楼层
发表于 2025-3-26 09:38:13 | 显示全部楼层
Deep Bayesian Video Frame Interpolation, the input observations. With this approach we show new records on 8 of 10 benchmarks, using an architecture with half the parameters of the state-of-the-art model. Code and models are publicly available at ..
发表于 2025-3-26 15:08:50 | 显示全部楼层
https://doi.org/10.1007/978-1-349-08919-2s. However, previous approaches struggle to synthesize high-frequency signals with fine details, deteriorating the synthesis quality. To address this, we propose WaveGAN, a frequency-aware model for few-shot image generation. Concretely, we disentangle encoded features into multiple frequency compon
发表于 2025-3-26 17:14:35 | 显示全部楼层
Can Arms Races Lead to the Outbreak of War? from prior works, we solve this problem by learning a conditional probability distribution of the edits, . in code space. Training such a model requires addressing the lack of example edits for training. To this end, we propose a self-supervised approach that simulates edits by augmenting off-the-s
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-7-6 00:07
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表