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Image view synthesis has seen great success in reconstructing photorealistic visuals, thanks to deep learning and various novel representations. The next key step in immersive virtual experiences is view synthesis of dynamic scenes.…

Computer Vision and Pattern Recognition · Computer Science 2022-11-29 Kai-En Lin , Guowei Yang , Lei Xiao , Feng Liu , Ravi Ramamoorthi

Advancements in neural implicit representations and differentiable rendering have markedly improved the ability to learn animatable 3D avatars from sparse multi-view RGB videos. However, current methods that map observation space to…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Zichen Tang , Hongyu Yang , Hanchen Zhang , Jiaxin Chen , Di Huang

The growing use of virtual autonomous agents in applications like games and entertainment demands better control policies for natural-looking movements and actions. Unlike the conventional approach of hard-coding motion routines, we propose…

Machine Learning · Computer Science 2019-10-28 Subhajit Chaudhury , Daiki Kimura , Asim Munawar , Ryuki Tachibana

Traditional 3D content creation tools empower users to bring their imagination to life by giving them direct control over a scene's geometry, appearance, motion, and camera path. Creating computer-generated videos, however, is a tedious…

Computer Vision and Pattern Recognition · Computer Science 2023-12-05 Shengqu Cai , Duygu Ceylan , Matheus Gadelha , Chun-Hao Paul Huang , Tuanfeng Yang Wang , Gordon Wetzstein

Cinemagraphs are a compelling way to convey dynamic aspects of a scene. In these media, dynamic and still elements are juxtaposed to create an artistic and narrative experience. Creating a high-quality, aesthetically pleasing cinemagraph…

Computer Vision and Pattern Recognition · Computer Science 2017-08-11 Tae-Hyun Oh , Kyungdon Joo , Neel Joshi , Baoyuan Wang , In So Kweon , Sing Bing Kang

In agricultural settings, the unstructured nature of certain production environments, along with the high complexity and inherent risks of production tasks, poses significant challenges to achieving full automation and effective on-site…

Systems and Control · Electrical Eng. & Systems 2024-12-09 Tao Liu , Baohua Zhang , Qianqiu Tan , Jun Zhou , Shuwan Yu , Qingzhen Zhu , Yifan Bian

Emotion serves as an essential component in daily human interactions. Existing human motion generation frameworks do not consider the impact of emotions, which reduces naturalness and limits their application in interactive tasks, such as…

Computer Vision and Pattern Recognition · Computer Science 2025-08-11 Chen Zhu , Buzhen Huang , Zijing Wu , Binghui Zuo , Yangang Wang

In recent years there have been remarkable breakthroughs in image-to-video generation. However, the 3D consistency and camera controllability of generated frames have remained unsolved. Recent studies have attempted to incorporate camera…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Dejia Xu , Yifan Jiang , Chen Huang , Liangchen Song , Thorsten Gernoth , Liangliang Cao , Zhangyang Wang , Hao Tang

We present Mind-of-Director, a multi-modal agent-driven framework for film previz that models the collaborative decision-making process of a film production team. Given a creative idea, Mind-of-Director orchestrates multiple specialized…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Shufeng Nan , Mengtian Li , Sixiao Zheng , Yuwei Lu , Han Zhang , Yanwei Fu

Movie trailers are an essential tool for promoting films and attracting audiences. However, the process of creating trailers can be time-consuming and expensive. To streamline this process, we propose an automatic trailer generation…

Computer Vision and Pattern Recognition · Computer Science 2024-04-05 Dawit Mureja Argaw , Mattia Soldan , Alejandro Pardo , Chen Zhao , Fabian Caba Heilbron , Joon Son Chung , Bernard Ghanem

Human video generation is becoming an increasingly important task with broad applications in graphics, entertainment, and embodied AI. Despite the rapid progress of video diffusion models (VDMs), their use for general-purpose human video…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Hyelin Nam , Hyojun Go , Byeongjun Park , Byung-Hoon Kim , Hyungjin Chung

Drones are enabling new forms of cinematography. However, quadrotor cinematography requires accurate comprehension of the scene, technical skill of flying, artistic skill of composition and simultaneous realization of all the requirements…

Robotics · Computer Science 2020-10-22 Yuanjie Dang

Creating flexible 3D scenes from a single image is vital when direct 3D data acquisition is costly or impractical. We introduce NavCrafter, a novel framework that explores 3D scenes from a single image by synthesizing novel-view video…

Computer Vision and Pattern Recognition · Computer Science 2026-04-06 Hongbo Duan , Peiyu Zhuang , Yi Liu , Zhengyang Zhang , Yuxin Zhang , Pengting Luo , Fangming Liu , Xueqian Wang

Time-lapse photography is employed in movies and promotional films because it can reflect the passage of time in a short time and strengthen the visual attraction. However, since it takes a long time and requires the stable shooting, it is…

Computer Vision and Pattern Recognition · Computer Science 2022-08-23 Xiaobo Gao , Qi Kuang , Xin Jin , Bin Zhou , Boyan Dong , Xunyu Wang

Autonomous aerial cinematography has the potential to enable automatic capture of aesthetically pleasing videos without requiring human intervention, empowering individuals with the capability of high-end film studios. Current approaches…

Robotics · Computer Science 2018-08-30 Rogerio Bonatti , Yanfu Zhang , Sanjiban Choudhury , Wenshan Wang , Sebastian Scherer

This project aimed to develop an automated cinematography platform using an unmanned aerial vehicle. Quadcopters are a great platform for shooting aerial scenes but are difficult to maneuver smoothly and can require expertise to pilot. We…

Robotics · Computer Science 2024-09-04 Animesh Nema , Christopher Grontkowski , Derek Calzada , Sanjuksha Nirgude

Controlling both camera motion and object dynamics is essential for coherent and expressive video generation, yet current methods typically handle only one motion type or rely on ambiguous 2D cues that entangle camera-induced parallax with…

Computer Vision and Pattern Recognition · Computer Science 2026-04-16 Guiyu Zhang , Yabo Chen , Xunzhi Xiang , Junchao Huang , Zhongyu Wang , Li Jiang

The landscape of video generation is shifting, from a focus on generating visually appealing clips to building virtual environments that support interaction and maintain physical plausibility. These developments point toward the emergence…

Artificial Intelligence · Computer Science 2026-02-09 Jingtong Yue , Ziqi Huang , Zhaoxi Chen , Xintao Wang , Pengfei Wan , Ziwei Liu

Recent advances in diffusion-based and controllable video generation have enabled high-quality and temporally coherent video synthesis, laying the groundwork for immersive interactive gaming experiences. However, current methods face…

Computer Vision and Pattern Recognition · Computer Science 2025-06-23 Jiaqi Li , Junshu Tang , Zhiyong Xu , Longhuang Wu , Yuan Zhou , Shuai Shao , Tianbao Yu , Zhiguo Cao , Qinglin Lu

To make efficient use of limited spectral resources, we in this work propose a deep actor-critic reinforcement learning based framework for dynamic multichannel access. We consider both a single-user case and a scenario in which multiple…

Machine Learning · Computer Science 2019-08-23 Chen Zhong , Ziyang Lu , M. Cenk Gursoy , Senem Velipasalar
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