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Self-Attention Generative Adversarial Networks
In this paper, we propose the Self-Attention Generative Adversarial Network (SAGAN) which allows attention-driven, long-range dependency modeling for image generation tasks. Traditional convolutionalExpand
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A Level Set Method for Image Segmentation in the Presence of Intensity Inhomogeneities With Application to MRI
Intensity inhomogeneity often occurs in real-world images, which presents a considerable challenge in image segmentation. The most widely used image segmentation algorithms are region-based andExpand
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StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
  • Han Zhang, T. Xu, +4 authors D. Metaxas
  • Computer Science, Mathematics
  • IEEE Transactions on Pattern Analysis and Machine…
  • 19 October 2017
Although Generative Adversarial Networks (GANs) have shown remarkable success in various tasks, they still face challenges in generating high quality images. In this paper, we propose StackedExpand
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Realistic Animation of Liquids
Abstract We present a comprehensive methodology for realistically animating liquid phenomena. Our approach unifies existing computer graphics techniques for simulating fluids and extends them byExpand
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Engineering and algorithm design for an image processing Api: a technical report on ITK--the Insight Toolkit.
We present the detailed planning and execution of the Insight Toolkit (ITK), an application programmers interface (API) for the segmentation and registration of medical image data. This publicExpand
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Learning with structured sparsity
This paper investigates a new learning formulation called structured sparsity, which is a natural extension of the standard sparsity concept in statistical learning and compressive sensing. ByExpand
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Query Specific Fusion for Image Retrieval
Recent image retrieval algorithms based on local features indexed by a vocabulary tree and holistic features indexed by compact hashing codes both demonstrate excellent scalability. However, theirExpand
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Handling Noise in Single Image Deblurring Using Directional Filters
State-of-the-art single image deblurring techniques are sensitive to image noise. Even a small amount of noise, which is inevitable in low-light conditions, can degrade the quality of blur kernelExpand
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Dynamic 3D models with local and global deformations: deformable superquadrics
A physically-based approach is presented to fitting complex 3D shapes using a novel class of dynamic models. These models can deform both locally and globally. The authors formulate deformableExpand
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Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model
This paper addresses the problem of facial landmark localization and tracking from a single camera. We present a two-stage cascaded deformable shape model to effectively and efficiently localizeExpand
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