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When given a single frame of the video, humans can not only interpret the content of the scene, but also they are able to forecast the near future. This ability is mostly driven by their rich prior knowledge about the visual world, both in…

Computer Vision and Pattern Recognition · Computer Science 2016-07-27 Lamberto Ballan , Francesco Castaldo , Alexandre Alahi , Francesco Palmieri , Silvio Savarese

This paper addresses the problem of interpolating visual textures. We formulate this problem by requiring (1) by-example controllability and (2) realistic and smooth interpolation among an arbitrary number of texture samples. To solve it we…

Computer Vision and Pattern Recognition · Computer Science 2019-04-17 Ning Yu , Connelly Barnes , Eli Shechtman , Sohrab Amirghodsi , Michal Lukac

Diffusion-based methods can generate realistic images and videos, but they struggle to edit existing objects in a video while preserving their appearance over time. This prevents diffusion models from being applied to natural video editing…

Computer Vision and Pattern Recognition · Computer Science 2023-08-21 Wenhao Chai , Xun Guo , Gaoang Wang , Yan Lu

In this paper, we propose a method to align and place a fabric piece on top of another using a dual-arm manipulator and a grayscale camera, so that their surface textures are accurately matched. We propose a novel control scheme that…

Robotics · Computer Science 2025-12-29 Fuyuki Tokuda , Akira Seino , Akinari Kobayashi , Kai Tang , Kazuhiro Kosuge

Over the last few years, the performance of inpainting to fill missing regions has shown significant improvements by using deep neural networks. Most of inpainting work create a visually plausible structure and texture, however, due to them…

Computer Vision and Pattern Recognition · Computer Science 2020-12-09 Yejin Kim , Manri Cheon , Junwoo Lee

Video generation has drawn significant interest recently, pushing the development of large-scale models capable of producing realistic videos with coherent motion. Due to memory constraints, these models typically generate short video…

Computer Vision and Pattern Recognition · Computer Science 2024-07-23 Idan Kligvasser , Regev Cohen , George Leifman , Ehud Rivlin , Michael Elad

Texturing is a fundamental process in computer graphics. Texture is leveraged to enhance the visualization outcome for a 3D scene. In many cases a texture image cannot cover a large 3D model surface because of its small resolution.…

Computer Vision and Pattern Recognition · Computer Science 2021-03-16 Vasilis Toulatzis , Ioannis Fudos

This paper presents a simple method for "do as I do" motion transfer: given a source video of a person dancing, we can transfer that performance to a novel (amateur) target after only a few minutes of the target subject performing standard…

Graphics · Computer Science 2019-08-29 Caroline Chan , Shiry Ginosar , Tinghui Zhou , Alexei A. Efros

Artistically controlling fluids has always been a challenging task. Optimization techniques rely on approximating simulation states towards target velocity or density field configurations, which are often handcrafted by artists to…

Graphics · Computer Science 2020-05-05 Byungsoo Kim , Vinicius C. Azevedo , Markus Gross , Barbara Solenthaler

Color transfer between images uses the statistics information of image effectively. We present a novel approach of local color transfer between images based on the simple statistics and locally linear embedding. A sketching interface is…

Computer Vision and Pattern Recognition · Computer Science 2016-12-30 Asad Khan , Luo Jiang , Wei Li , Ligang Liu

In this work, we explore the problem of generating fantastic special-effects for the typography. It is quite challenging due to the model diversities to illustrate varied text effects for different characters. To address this issue, our key…

Computer Vision and Pattern Recognition · Computer Science 2016-12-07 Shuai Yang , Jiaying Liu , Zhouhui Lian , Zongming Guo

Artistic style transfer aims to create new artistic images by rendering a given photograph with the target artistic style. Existing methods learn styles simply based on global statistics or local patches, lacking careful consideration of…

Computer Vision and Pattern Recognition · Computer Science 2023-09-13 Haibo Chen , Lei Zhao , Jun Li , Jian Yang

In the era of digital animation, the quest to produce lifelike facial animations for virtual characters has led to the development of various retargeting methods. While the retargeting facial motion between models of similar shapes has been…

Computer Vision and Pattern Recognition · Computer Science 2026-01-14 Yeonsoo Choi , Inyup Lee , Sihun Cha , Seonghyeon Kim , Sunjin Jung , Junyong Noh

Animating a still image offers an engaging visual experience. Traditional image animation techniques mainly focus on animating natural scenes with stochastic dynamics (e.g. clouds and fluid) or domain-specific motions (e.g. human hair or…

Computer Vision and Pattern Recognition · Computer Science 2023-11-28 Jinbo Xing , Menghan Xia , Yong Zhang , Haoxin Chen , Wangbo Yu , Hanyuan Liu , Xintao Wang , Tien-Tsin Wong , Ying Shan

In the past, manually re-drawing an image in a certain artistic style required a professional artist and a long time. Doing this for a video sequence single-handed was beyond imagination. Nowadays computers provide new possibilities. We…

Computer Vision and Pattern Recognition · Computer Science 2016-10-21 Manuel Ruder , Alexey Dosovitskiy , Thomas Brox

Despite its success in image synthesis, we observe that diffusion probabilistic models (DPMs) often lack contextual reasoning ability to learn the relations among object parts in an image, leading to a slow learning process. To solve this…

Computer Vision and Pattern Recognition · Computer Science 2024-02-22 Shanghua Gao , Pan Zhou , Ming-Ming Cheng , Shuicheng Yan

This paper introduces a novel approach to synthesize texture to dress up a given 3D object, given a text prompt. Based on the pretrained text-to-image (T2I) diffusion model, existing methods usually employ a project-and-inpaint approach, in…

Computer Vision and Pattern Recognition · Computer Science 2025-03-19 Yuxin Liu , Minshan Xie , Hanyuan Liu , Tien-Tsin Wong

Video transition effects are widely used in video editing to connect shots for creating cohesive and visually appealing videos. However, it is challenging for non-professionals to choose best transitions due to the lack of cinematographic…

Computer Vision and Pattern Recognition · Computer Science 2022-07-28 Yaojie Shen , Libo Zhang , Kai Xu , Xiaojie Jin

The basic principle of the patch-matching based style transfer is to substitute the patches of the content image feature maps by the closest patches from the style image feature maps. Since the finite features harvested from one single…

Computer Vision and Pattern Recognition · Computer Science 2023-09-20 Chang Liu , Yi Niu , Mingming Ma , Fu Li , Guangming Shi

A common problem in the 4D reconstruction of people from multi-view video is the quality of the captured dynamic texture appearance which depends on both the camera resolution and capture volume. Typically the requirement to frame cameras…

Computer Vision and Pattern Recognition · Computer Science 2021-09-01 Marco Pesavento , Marco Volino , Adrian Hilton
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