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公开(公告)号：US20210150678A1
公开(公告)日：2021-05-20
申请号：US17080714
申请日：2020-10-26
申请人： Zili YI , Qiang TANG , Shekoofeh AZIZI , Daesik JANG , Zhan XU
发明人： Zili YI , Qiang TANG , Shekoofeh AZIZI , Daesik JANG , Zhan XU
摘要： Methods and systems for high-resolution image inpainting are disclosed. An original high-resolution image to be inpainted is obtained, as well as an inpainting mask indicating an inside-mask area to be inpainted. The original high-resolution image is down-sampled to obtain a low-resolution image to be inpainted. Using a trained inpainting generator, a low-resolution inpainted image and a set of attention scores are generated from the low-resolution image. The attention scores represent the similarity between inside-mask regions and outside-mask regions. A high-frequency residual image is computed from the original high-resolution image. An aggregated high-frequency residual image is generated using the attention scores, including high-frequency residual information for the inside-mask area. A high-resolution inpainted image is outputted by combining the aggregated high-frequency residual image and a low-frequency inpainted image generated from the low-resolution inpainted image.
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公开(公告)号：US20230019851A1
公开(公告)日：2023-01-19
申请号：US17367524
申请日：2021-07-05
申请人： Zili YI , Qiang TANG , Vishnu Sanjay RAMIYA SRINIVASAN , Zhan XU
发明人： Zili YI , Qiang TANG , Vishnu Sanjay RAMIYA SRINIVASAN , Zhan XU
摘要： Methods and systems for high-resolution image manipulation are disclosed. An original high-resolution image to be manipulated is obtained, as well as a driving signal indicating a manipulation result. The original high-resolution image is down-sampled to obtain a low-resolution image to be manipulated. Using a trained manipulation generator, a low-resolution manipulated image and a motion field are generated from the low-resolution image. The motion field represent pixel displacements of the low-resolution image to obtain the manipulation indicated by the driving signal. A high-frequency residual image is computed from the original high-resolution image. A high-frequency manipulated residual image is generated using the motion field. A high-resolution manipulated image is outputted by combining the high-frequency manipulated residual image and a low-frequency manipulated image generated from the low-resolution manipulated image by up-sampling.
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3.发明申请公开(公告)号：US20220129682A1
公开(公告)日：2022-04-28
申请号：US17079084
申请日：2020-10-23
申请人： Qiang TANG , Zili YI , Zhan XU
发明人： Qiang TANG , Zili YI , Zhan XU
摘要： Methods and systems for fully-automatic image processing to detect and remove unwanted people from a digital image of a photograph. The system includes the following modules: 1) Deep neural network (DNN)-based module for object segmentation and head pose estimation; 2) classification (or grouping) of wanted versus unwanted people based on information collected in the first module; 3) image inpainting of the unwanted people in the digital image. The classification module can be rules-based in an example. In an example, the DNN-based module generates, from the digital image: 1. A list of object category labels, 2. A list of object scores, 3. A list of binary masks, 4. A list of object bounding boxes, 5. A list of crowd instances, 6. A list of human head bounding boxes, and 7. A list of head poses (e.g., yaws, pitches, and rolls).
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