Cross-domain retrieving sketch and shape using cycle CNNs
نویسندگان
چکیده
منابع مشابه
Cross-Domain Diagram Sketch Recognition
Diagrams are often used to model complex systems: in many cases several different types of diagrams are used to model different aspects of the system. These diagrams, perhaps from multiple stakeholders of different specialties, must be combined to achieve a full abstract representation of the system. Many CAD tools offer multi-diagram integration, however sketchbased diagramming tools are yet t...
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Convenient access to handwritten historical document collections in libraries generally requires an index, which allows one to locate individual text units (pages, sentences, lines) that are relevant to a given query (usually provided as text). Currently, extensive manual labor is used to annotate and organize such collections, because handwriting recognition approaches provide only poor result...
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Conceptualizing away the sketch processing details in a user interface will enable general users and domain experts to create more complex sketches. There are many domains for which sketch recognition systems are being developed. But, they entail image-processing skill if they are to handle the details of each domain, and also they are lengthy to build. The implemented system’s goal is to enabl...
متن کاملRecursive Cross-Domain Face/Sketch Generation from Limited Facial Parts
Recent face composite and synthesis related works have shown promising results in generating realistic face images from deep convolutional networks. However, these works either do not generate consistent results when the constituent patches contain large domain variations (i.e., from face and sketch domains) or cannot generate high-resolution images with limited facial patches (e.g., the inpain...
متن کاملSupplemental Material: Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis
In Fig. 4, we show example shape completions on realworld range scans. The test scans are part of the RGB-D test set of the work of Qi et al. [5], and have been captured with a PrimeSense sensor. The dataset includes reconstructions and frame alignment obtained through VoxelHashing [4] as well as mesh objects which have been manually segmented from the surrounding environment. For the purpose o...
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ژورنال
عنوان ژورنال: Computers & Graphics
سال: 2020
ISSN: 0097-8493
DOI: 10.1016/j.cag.2020.05.018