提出了line-sketch生成器,可以对一张图片生成多个草图 对于sketch2image问题,提出了self-supervised auto-encoder,损失采用momentum-based mutual information minimization loss 对于DMI和AdaIN提出了两种技术改进方案,来得到更好的效果 展示本文的方法有能力处理高分辨率sketch2image任务和风格迁移任务 草图生成 本文提出了一...
Self-Supervised-Sketch2Image-pytorch A pytorch implementation of self-supervised sketch-to-image model, the paper can be foundhere. 0. Data For CelebA and WikiArt paintings image, the pre-processed RGB image data and their corresponding sketch images are available at thislink ...
Sketch-based image retrievalSelf-supervisionDeep-learningRepresentation learningNeural Computing and Applications - Sketch-based image retrieval is demanding interest in the computer vision community due to its relevance in the visual perception system and its potential......
Unsupervised Sketch to Photo Synthesis We also incorporate a self-supervised denoising objective and an attention module to handle abstraction and style variations that are specific to sketches. ... R Liu,Q Yu,SX Yu - Computer Vision-eccv: European Conference 被引量: 0发表: 2020年 Deep learning...
Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting. [code] Ayan Kumar Bhunia, Pinaki nath Chowdhury, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song. CVPR 2021 SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning [pdf] [code] Colorado ...
Towards Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) aims to minimize the distance between sketches and corresponding images in the embedding space. However... J Jiang,H Tang,Z Jiang,... 被引量...
SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations Pu Li1,2 Jianwei Guo1,2* Xiaopeng Zhang1,2 Dong-Ming Yan1,2 1MAIS, Institute of Automation, Chinese Academy of Sciences 2School of Artificial Intelligence, University of Chin...
Masked image modeling (MIM)has demonstrated impressive results in self-supervised representation learning by recovering corrupted image patches. MIM通过恢复损坏的图像patch,在自监督学习中显示了令人印象深刻的结果。然而,大多数现有的研究都是在低层次的图像像素上进行的,这阻碍了表示模型的高级语义开发。本文,提出...
Moreover, we surpris- ingly find that our self-supervised generative network has impressive potential for data synthesis, text image editing, and font interpolation, which suggests that the proposed SimAN has a wide range of practical applications. 1....
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