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This is the official Pytorch implementation of Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis. Paper | 10-min Video (10 min) | 5-min Video Updates
12 de abr. de 2021 · Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis. In this paper, we explore open-domain sketch-to-photo translation, which aims to synthesize a realistic photo from a freehand sketch with its class label, even if the sketches of that class are missing in the training data.
- Xiaoyu Xiang, Ding Liu, Xiao Yang, Yiheng Zhu, Xiaohui Shen, Jan P. Allebach
- 2021
1 de sept. de 2023 · Human-Inspired Facial Sketch Synthesis with Dynamic Adaptation. Fei Gao, Yifan Zhu, Chang Jiang, Nannan Wang. Facial sketch synthesis (FSS) aims to generate a vivid sketch portrait from a given facial photo. Existing FSS methods merely rely on 2D representations of facial semantic or appearance.
Sketch-based image synthesis enables non-artists to create realistic images without significant artistic skill or domain expertise in image synthesis. It is generally hard because sketches are sparse, and novice human artists cannot draw sketches that precisely reflect object boundaries.
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12 de abr. de 2021 · Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis. In this paper, we explore open-domain sketch-to-photo translation, which aims to synthesize a realistic photo from a freehand sketch with its class label, even if the sketches of that class are missing in the training data.
- Xiaoyu Xiang
Introduction. Freehand sketch is an intuitive way for users to interact on visual media and express their intentions.
Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis. In this paper, we explore open-domain sketch-to-photo translation, which aims to synthesize a realistic photo from a freehand sketch with its class label, even if the sketches of that class are missing in the training data.
