A5088037488- Generative Adversarial Networks and Image Synthesis
- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Particle Dynamics in Fluid Flows
- Engineering and Test Systems
- 3D Shape Modeling and Analysis
- Advanced Computational Techniques and Applications
- Computer Graphics and Visualization Techniques
- Advanced Decision-Making Techniques
- Erosion and Abrasive Machining
- Face recognition and analysis
- Fluid Dynamics and Mixing
Alibaba Group (Cayman Islands)
2022
Alibaba Group (United States)
2019
Neural style transfer has drawn considerable attention from both academic and industrial field. Although visual effect efficiency have been significantly improved, existing methods are unable to coordinate spatial distribution of between the content image stylized image, or render diverse level detail via different brush strokes. In this paper, we tackle these limitations by developing an attention-aware multi-stroke model. We first propose assemble self-attention mechanism into a...
Pipeline liquid–solid two-phase flow is a significantly important multiphase phenomenon widely encountered in both industrial and natural settings. The regime of pipelines plays crucial role as it represents the macroscopic manifestation suspension diffusion mechanism slip deposition law solid particles. This paper provides an overview research related to regimes critical velocity (CDV) pipelines. After briefly reviewing pioneering theoretical this field, focuses on recent identification...
Neural style transfer has drawn considerable attention from both academic and industrial field. Although visual effect efficiency have been significantly improved, existing methods are unable to coordinate spatial distribution of between the content image stylized image, or render diverse level detail via different brush strokes. In this paper, we tackle these limitations by developing an attention-aware multi-stroke model. We first propose assemble self-attention mechanism into a...
Synthesis of high resolution images using Generative Adversarial Networks (GANs) is challenging, which usually requires numbers high-end graphic cards with large memory and long time training. In this paper, we propose a two-stage framework to accelerate the training process synthesizing images. High are first transformed small codes via trained encoder decoder networks. The code in latent space times smaller than original Then, train generation network learn distribution codes. way,...
Body reshaping is an important procedure in portrait photo retouching. Due to the complicated structure and multifarious appearance of human bodies, existing methods either fall back on 3D domain via body morphable model or resort keypoint-based image deformation, leading inefficiency unsatisfied visual quality. In this paper, we address these limitations by formulating end-to-end flow generation architecture under guidance structural priors, including skeletons Part Affinity Fields, achieve...