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This paper introduces a method for realistic kinetic typography that generates user-preferred animatable 'text content'. We draw on recent advances in guided video diffusion models to achieve visually-pleasing text appearances. To do this,…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Seonmi Park , Inhwan Bae , Seunghyun Shin , Hae-Gon Jeon

The current state-of-the-art Diffusion model has demonstrated excellent results in generating images. However, the images are monotonous and are mostly the result of the distribution of images of people in the training set, making it…

Computer Vision and Pattern Recognition · Computer Science 2023-05-18 Tianyu Chen

Generating videos for visual storytelling can be a tedious and complex process that typically requires either live-action filming or graphics animation rendering. To bypass these challenges, our key idea is to utilize the abundance of…

Computer Vision and Pattern Recognition · Computer Science 2023-07-14 Yingqing He , Menghan Xia , Haoxin Chen , Xiaodong Cun , Yuan Gong , Jinbo Xing , Yong Zhang , Xintao Wang , Chao Weng , Ying Shan , Qifeng Chen

Would not it be much more convenient for everybody to try on clothes by only looking into a mirror ? The answer to that problem is virtual try-on, enabling users to digitally experiment with outfits. The core challenge lies in realistic…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Mostafa Atef , Mariam Ayman , Ahmed Rashed , Ashrakat Saeed , Abdelrahman Saeed , Ahmed Fares

Robust feature representation plays significant role in visual tracking. However, it remains a challenging issue, since many factors may affect the experimental performance. The existing method which combine different features by setting…

Computer Vision and Pattern Recognition · Computer Science 2017-05-15 Yuqi Han , Chenwei Deng , Zengshuo Zhang , Jiatong Li , Baojun Zhao

Learning a generalist embodied agent capable of completing multiple tasks poses challenges, primarily stemming from the scarcity of action-labeled robotic datasets. In contrast, a vast amount of human videos exist, capturing intricate tasks…

Machine Learning · Computer Science 2024-10-10 Haoran He , Chenjia Bai , Ling Pan , Weinan Zhang , Bin Zhao , Xuelong Li

Real-time portrait animation is essential for interactive applications such as virtual assistants and live avatars, requiring high visual fidelity, temporal coherence, ultra-low latency, and responsive control from dynamic inputs like…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Steven Xiao , Xindi Zhang , Dechao Meng , Qi Wang , Peng Zhang , Bang Zhang

Large-scale text-to-image generative models have been a revolutionary breakthrough in the evolution of generative AI, allowing us to synthesize diverse images that convey highly complex visual concepts. However, a pivotal challenge in…

Computer Vision and Pattern Recognition · Computer Science 2022-11-24 Narek Tumanyan , Michal Geyer , Shai Bagon , Tali Dekel

Text-to-Image generation in the general domain has long been an open problem, which requires both a powerful generative model and cross-modal understanding. We propose CogView, a 4-billion-parameter Transformer with VQ-VAE tokenizer to…

Computer Vision and Pattern Recognition · Computer Science 2021-11-08 Ming Ding , Zhuoyi Yang , Wenyi Hong , Wendi Zheng , Chang Zhou , Da Yin , Junyang Lin , Xu Zou , Zhou Shao , Hongxia Yang , Jie Tang

While generative models produce high-quality images of concepts learned from a large-scale database, a user often wishes to synthesize instantiations of their own concepts (for example, their family, pets, or items). Can we teach a model to…

Computer Vision and Pattern Recognition · Computer Science 2023-06-21 Nupur Kumari , Bingliang Zhang , Richard Zhang , Eli Shechtman , Jun-Yan Zhu

Standard image captioning tasks such as COCO and Flickr30k are factual, neutral in tone and (to a human) state the obvious (e.g., "a man playing a guitar"). While such tasks are useful to verify that a machine understands the content of an…

Computer Vision and Pattern Recognition · Computer Science 2019-03-21 Kurt Shuster , Samuel Humeau , Hexiang Hu , Antoine Bordes , Jason Weston

In the context of the exponentially increasing volume of narrative texts such as novels and news, readers struggle to extract and consistently remember storyline from these intricate texts due to the constraints of human working memory and…

Human-Computer Interaction · Computer Science 2024-11-11 Li Ye , Lei Wang , Shaolun Ruan , Yuwei Meng , Yigang Wang , Wei Chen , Zhiguang Zhou

Large-scale text-to-image models including Stable Diffusion are capable of generating high-fidelity photorealistic portrait images. There is an active research area dedicated to personalizing these models, aiming to synthesize specific…

Computer Vision and Pattern Recognition · Computer Science 2024-02-05 Junha Hyung , Jaeyo Shin , Jaegul Choo

Virtual try-on is a promising computer vision topic with a high commercial value wherein a new garment is visually worn on a person with a photo-realistic effect. Previous studies conduct their shape and content inference at one stage,…

Computer Vision and Pattern Recognition · Computer Science 2023-12-06 Naiyu Fang , Lemiao Qiu , Shuyou Zhang , Zili Wang , Kerui Hu

Video virtual try-on aims to generate realistic sequences that maintain garment identity and adapt to a person's pose and body shape in source videos. Traditional image-based methods, relying on warping and blending, struggle with complex…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Zijian He , Peixin Chen , Guangrun Wang , Guanbin Li , Philip H. S. Torr , Liang Lin

Real-time speech-driven 3D facial animation has been attractive in academia and industry. Traditional methods mainly focus on learning a deterministic mapping from speech to animation. Recent approaches start to consider the…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Peng Chen , Xiaobao Wei , Ming Lu , Hui Chen , Feng Tian

There has been a recent explosion of impressive generative models that can produce high quality images (or videos) conditioned on text descriptions. However, all such approaches rely on conditional sentences that contain unambiguous…

Computer Vision and Pattern Recognition · Computer Science 2023-05-09 Tanzila Rahman , Hsin-Ying Lee , Jian Ren , Sergey Tulyakov , Shweta Mahajan , Leonid Sigal

A caricature is an artistic form of a person's picture in which certain striking characteristics are abstracted or exaggerated in order to create a humor or sarcasm effect. For numerous caricature related applications such as attribute…

Computer Vision and Pattern Recognition · Computer Science 2019-05-14 Wenqing Chu , Wei-Chih Hung , Yi-Hsuan Tsai , Deng Cai , Ming-Hsuan Yang

Portrait Animation aims to synthesize a lifelike video from a single source image, using it as an appearance reference, with motion (i.e., facial expressions and head pose) derived from a driving video, audio, text, or generation. Instead…

Computer Vision and Pattern Recognition · Computer Science 2025-03-03 Jianzhu Guo , Dingyun Zhang , Xiaoqiang Liu , Zhizhou Zhong , Yuan Zhang , Pengfei Wan , Di Zhang

We present CogVideoX, a large-scale text-to-video generation model based on diffusion transformer, which can generate 10-second continuous videos aligned with text prompt, with a frame rate of 16 fps and resolution of 768 * 1360 pixels.…

Computer Vision and Pattern Recognition · Computer Science 2025-03-27 Zhuoyi Yang , Jiayan Teng , Wendi Zheng , Ming Ding , Shiyu Huang , Jiazheng Xu , Yuanming Yang , Wenyi Hong , Xiaohan Zhang , Guanyu Feng , Da Yin , Yuxuan Zhang , Weihan Wang , Yean Cheng , Bin Xu , Xiaotao Gu , Yuxiao Dong , Jie Tang