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  1. 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
  2. 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
  3. end-to-end trainable sketch to image synthesis approach that can generate objects from 50 classes. The input is a sketch illustrating an object and the output is a realistic im-age containing that object in a similar pose. This is chal-lenging because: (i) paired photos and sketches are difficult

    • 811KB
    • 10
  4. sketch-to-photo and photo-to-sketch mapping of in-domain data and generalizes them to the open-domain classes. We validate our method on the Scribble and SketchyCOCO datasets. Compared with the recent competing methods, our approach shows impressive results in synthesizing realistic color, texture, and maintaining the geometric composition

    • Xiaoyu Xiang, Ding Liu, Xiao Yang, Yiheng Zhu, Xiaohui Shen, Jan P. Allebach
    • 2021
  5. 12 de abr. de 2021 · Computer Science. TLDR. This paper proposes a simple yet effective open-domain sampling and optimization strategy to "fool" the generator into treating fake sketches as real ones, and shows impressive results in synthesizing realistic color, texture, and maintaining the geometric composition for various categories of open- domain sketches. Expand.

  6. 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.

  7. 28 de jul. de 2021 · Adaption. Preprint PDF Available. Adversarial Open Domain Adaption Framework (AODA): Sketch-to-Photo Synthesis. July 2021. Authors: Amey Thakur. University of Windsor. Mega Satish....