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We present a method for precisely time-synchronizing the capture of image sequences from a collection of smartphone cameras connected over WiFi. Our method is entirely software-based, has only modest hardware requirements, and achieves an…

Computer Vision and Pattern Recognition · Computer Science 2019-08-16 Sameer Ansari , Neal Wadhwa , Rahul Garg , Jiawen Chen

Pairwise camera pose estimation from sparsely overlapping image pairs remains a critical and unsolved challenge in 3D vision. Most existing methods struggle with image pairs that have small or no overlap. Recent approaches attempt to…

Computer Vision and Pattern Recognition · Computer Science 2025-10-23 Qing Mao , Tianxin Huang , Yu Zhu , Jinqiu Sun , Yanning Zhang , Gim Hee Lee

We study the problem of video-to-video synthesis, whose goal is to learn a mapping function from an input source video (e.g., a sequence of semantic segmentation masks) to an output photorealistic video that precisely depicts the content of…

Computer Vision and Pattern Recognition · Computer Science 2018-12-04 Ting-Chun Wang , Ming-Yu Liu , Jun-Yan Zhu , Guilin Liu , Andrew Tao , Jan Kautz , Bryan Catanzaro

The challenge of graphically rendering high frame-rate videos on low compute devices can be addressed through periodic prediction of future frames to enhance the user experience in virtual reality applications. This is studied through the…

Computer Vision and Pattern Recognition · Computer Science 2023-09-15 Nagabhushan Somraj , Pranali Sancheti , Rajiv Soundararajan

We present a frame interpolation algorithm that synthesizes multiple intermediate frames from two input images with large in-between motion. Recent methods use multiple networks to estimate optical flow or depth and a separate network…

Computer Vision and Pattern Recognition · Computer Science 2022-07-19 Fitsum Reda , Janne Kontkanen , Eric Tabellion , Deqing Sun , Caroline Pantofaru , Brian Curless

Video-to-video synthesis (vid2vid) aims for converting high-level semantic inputs to photorealistic videos. While existing vid2vid methods can achieve short-term temporal consistency, they fail to ensure the long-term one. This is because…

Computer Vision and Pattern Recognition · Computer Science 2020-07-17 Arun Mallya , Ting-Chun Wang , Karan Sapra , Ming-Yu Liu

Photo-realistic novel view synthesis from multi-view images, such as neural radiance field (NeRF) and 3D Gaussian Splatting (3DGS), has gained significant attention for its superior performance. However, most existing methods rely on low…

Computer Vision and Pattern Recognition · Computer Science 2025-08-19 Shucheng Gong , Lingzhe Zhao , Wenpu Li , Hong Xie , Yin Zhang , Shiyu Zhao , Peidong Liu

Video frame interpolation typically involves two steps: motion estimation and pixel synthesis. Such a two-step approach heavily depends on the quality of motion estimation. This paper presents a robust video frame interpolation method that…

Computer Vision and Pattern Recognition · Computer Science 2017-03-23 Simon Niklaus , Long Mai , Feng Liu

We present ContinuityCam, a novel approach to generate a continuous video from a single static RGB image and an event camera stream. Conventional cameras struggle with high-speed motion capture due to bandwidth and dynamic range…

Computer Vision and Pattern Recognition · Computer Science 2025-04-25 Ziyun Wang , Friedhelm Hamann , Kenneth Chaney , Wen Jiang , Guillermo Gallego , Kostas Daniilidis

This article experimentally examines different configurations of a novel multi-camera array microscope (MCAM) imaging technology. The MCAM is based upon a densely packed array of "micro-cameras" to jointly image across a large field-of-view…

In this paper, we introduce Fairy, a minimalist yet robust adaptation of image-editing diffusion models, enhancing them for video editing applications. Our approach centers on the concept of anchor-based cross-frame attention, a mechanism…

Computer Vision and Pattern Recognition · Computer Science 2023-12-22 Bichen Wu , Ching-Yao Chuang , Xiaoyan Wang , Yichen Jia , Kapil Krishnakumar , Tong Xiao , Feng Liang , Licheng Yu , Peter Vajda

Event cameras are novel sensors that output brightness changes in the form of a stream of asynchronous "events" instead of intensity frames. They offer significant advantages with respect to conventional cameras: high dynamic range (HDR),…

Computer Vision and Pattern Recognition · Computer Science 2020-04-02 Daniel Gehrig , Mathias Gehrig , Javier Hidalgo-Carrió , Davide Scaramuzza

This paper proposes an algorithm that turns a regular video capturing urban scenes into a high-quality endless animation, known as a Cinemagraph. The creation of a Cinemagraph usually requires a static camera in a carefully configured…

Computer Vision and Pattern Recognition · Computer Science 2016-12-06 Hang Yan , Yebin Liu , Yasutaka Furukawa

Multi-camera surveillance has been an active research topic for understanding and modeling scenes. Compared to a single camera, multi-cameras provide larger field-of-view and more object cues, and the related applications are multi-view…

Computer Vision and Pattern Recognition · Computer Science 2022-05-03 Qi Zhang , Antoni B. Chan

Multispectral imaging is very beneficial in diverse applications, like healthcare and agriculture, since it can capture absorption bands of molecules in different spectral areas. A promising approach for multispectral snapshot imaging are…

Image and Video Processing · Electrical Eng. & Systems 2024-11-08 Frank Sippel , Jürgen Seiler , André Kaup

The booming haptic data significantly improves the users'immersion during multimedia interaction. As a result, the study of Haptic,Audio-Visual Environment(HAVE)has attracted attentions of multimedia community. To realize such a system, a…

Multimedia · Computer Science 2022-05-10 Yiwen Xu , Liangtao Huang , Tiesong Zhao , Liqun Lin , Ying Fang

Recent advancements in video diffusion models have shown exceptional abilities in simulating real-world dynamics and maintaining 3D consistency. This progress inspires us to investigate the potential of these models to ensure dynamic…

Computer Vision and Pattern Recognition · Computer Science 2024-12-11 Jianhong Bai , Menghan Xia , Xintao Wang , Ziyang Yuan , Xiao Fu , Zuozhu Liu , Haoji Hu , Pengfei Wan , Di Zhang

High-speed, high-resolution stereoscopic (H2-Stereo) video allows us to perceive dynamic 3D content at fine granularity. The acquisition of H2-Stereo video, however, remains challenging with commodity cameras. Existing spatial…

Computer Vision and Pattern Recognition · Computer Science 2022-08-05 Ming Cheng , Yiling Xu , Wang Shen , M. Salman Asif , Chao Ma , Jun Sun , Zhan Ma

Occlusion-free video generation is challenging due to surgeons' obstructions in the camera field of view. Prior work has addressed this issue by installing multiple cameras on a surgical light, hoping some cameras will observe the surgical…

Computer Vision and Pattern Recognition · Computer Science 2025-03-06 Yuna Kato , Mariko Isogawa , Shohei Mori , Hideo Saito , Hiroki Kajita , Yoshifumi Takatsume

We present CineVerse, a novel framework for the task of cinematic scene composition. Similar to traditional multi-shot generation, our task emphasizes the need for consistency and continuity across frames. However, our task also focuses on…

Computer Vision and Pattern Recognition · Computer Science 2025-04-29 Quynh Phung , Long Mai , Fabian David Caba Heilbron , Feng Liu , Jia-Bin Huang , Cusuh Ham
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