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The requirement of large amounts of annotated images has become one grand challenge while training deep neural network models for various visual detection and recognition tasks. This paper presents a novel image synthesis technique that…

Computer Vision and Pattern Recognition · Computer Science 2018-09-27 Fangneng Zhan , Shijian Lu , Chuhui Xue

Novel view synthesis from a single image has recently attracted a lot of attention, and it has been primarily advanced by 3D deep learning and rendering techniques. However, most work is still limited by synthesizing new views within…

Computer Vision and Pattern Recognition · Computer Science 2022-03-18 Xuanchi Ren , Xiaolong Wang

Existing generative approaches for guided image synthesis of multi-object scenes typically rely on 2D controls in the image or text space. As a result, these methods struggle to maintain and respect consistent three-dimensional geometric…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Léopold Maillard , Tom Durand , Adrien Ramanana Rahary , Maks Ovsjanikov

Controllable scene synthesis consists of generating 3D information that satisfy underlying specifications. Thereby, these specifications should be abstract, i.e. allowing easy user interaction, whilst providing enough interface for detailed…

Computer Vision and Pattern Recognition · Computer Science 2021-08-20 Helisa Dhamo , Fabian Manhardt , Nassir Navab , Federico Tombari

Text-based motion generation models are drawing a surge of interest for their potential for automating the motion-making process in the game, animation, or robot industries. In this paper, we propose a diffusion-based motion synthesis and…

Computer Vision and Pattern Recognition · Computer Science 2023-01-03 Jihoon Kim , Jiseob Kim , Sungjoon Choi

We present a method for text-driven perpetual view generation -- synthesizing long-term videos of various scenes solely, given an input text prompt describing the scene and camera poses. We introduce a novel framework that generates such…

Computer Vision and Pattern Recognition · Computer Science 2023-05-31 Rafail Fridman , Amit Abecasis , Yoni Kasten , Tali Dekel

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

In this paper, we study video synthesis with emphasis on simplifying the generation conditions. Most existing video synthesis models or datasets are designed to address complex motions of a single object, lacking the ability of…

Computer Vision and Pattern Recognition · Computer Science 2023-05-24 Yang Wu , Zhibin Liu , Hefeng Wu , Liang Lin

Interactive motion synthesis is essential in creating immersive experiences in entertainment applications, such as video games and virtual reality. However, generating animations that are both high-quality and contextually responsive…

Computer Vision and Pattern Recognition · Computer Science 2024-01-15 Tianyu Li , Calvin Qiao , Guanqiao Ren , KangKang Yin , Sehoon Ha

Recent advancements in character video synthesis still depend on extensive fine-tuning or complex 3D modeling processes, which can restrict accessibility and hinder real-time applicability. To address these challenges, we propose a simple…

Computer Vision and Pattern Recognition · Computer Science 2025-01-14 Di Qiu , Zheng Chen , Rui Wang , Mingyuan Fan , Changqian Yu , Junshi Huang , Xiang Wen

In recent years, diffusion models have made remarkable strides in text-to-video generation, sparking a quest for enhanced control over video outputs to more accurately reflect user intentions. Traditional efforts predominantly focus on…

Computer Vision and Pattern Recognition · Computer Science 2024-07-18 Mingxiao Li , Bo Wan , Marie-Francine Moens , Tinne Tuytelaars

Upsampling videos of human activity is an interesting yet challenging task with many potential applications ranging from gaming to entertainment and sports broadcasting. The main difficulty in synthesizing video frames in this setting stems…

Computer Vision and Pattern Recognition · Computer Science 2021-11-02 Hsuan-I Ho , Xu Chen , Jie Song , Otmar Hilliges

In this work, we consider the problem of estimating the 3D position of multiple humans in a scene as well as their body shape and articulation from a single RGB video recorded with a static camera. In contrast to expensive marker-based or…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Diogo Luvizon , Marc Habermann , Vladislav Golyanik , Adam Kortylewski , Christian Theobalt

3D functionality segmentation aims to identify the interactive element in a 3D scene required to perform an action described in free-form language (e.g., the handle to ``Open the second drawer of the cabinet near the bed''). Progress has…

Computer Vision and Pattern Recognition · Computer Science 2026-04-07 Jaime Corsetti , Francesco Giuliari , Davide Boscaini , Pedro Hermosilla , Andrea Pilzer , Guofeng Mei , Alexandros Delitzas , Francis Engelmann , Fabio Poiesi

We introduce the dynamic grasp synthesis task: given an object with a known 6D pose and a grasp reference, our goal is to generate motions that move the object to a target 6D pose. This is challenging, because it requires reasoning about…

Computer Vision and Pattern Recognition · Computer Science 2022-04-18 Sammy Christen , Muhammed Kocabas , Emre Aksan , Jemin Hwangbo , Jie Song , Otmar Hilliges

Human motion generation aims to produce plausible human motion sequences according to various conditional inputs, such as text or audio. Despite the feasibility of existing methods in generating motion based on short prompts and simple…

Multimedia · Computer Science 2024-11-12 Bo Han , Hao Peng , Minjing Dong , Yi Ren , Yixuan Shen , Chang Xu

Realistic scene-level multi-agent motion simulations are crucial for developing and evaluating self-driving algorithms. However, most existing works focus on generating trajectories for a certain single agent type, and typically ignore the…

Robotics · Computer Science 2023-11-28 Zhiming Guo , Xing Gao , Jianlan Zhou , Xinyu Cai , Botian Shi

Sketching provides an intuitive way to convey dynamic intent in animation authoring (i.e., how elements change over time and space), making it a natural medium for automatic content creation. Yet existing approaches often constrain sketches…

Human-Computer Interaction · Computer Science 2026-01-29 Boyu Li , Lin-Ping Yuan , Zeyu Wang , Hongbo Fu

Despite significant advancements in text-to-motion synthesis, generating language-guided human motion within 3D environments poses substantial challenges. These challenges stem primarily from (i) the absence of powerful generative models…

Computer Vision and Pattern Recognition · Computer Science 2024-03-28 Zan Wang , Yixin Chen , Baoxiong Jia , Puhao Li , Jinlu Zhang , Jingze Zhang , Tengyu Liu , Yixin Zhu , Wei Liang , Siyuan Huang

Recently, interactive digital human video generation has attracted widespread attention and achieved remarkable progress. However, building such a practical system that can interact with diverse input signals in real time remains…

Computer Vision and Pattern Recognition · Computer Science 2025-08-29 Ming Chen , Liyuan Cui , Wenyuan Zhang , Haoxian Zhang , Yan Zhou , Xiaohan Li , Songlin Tang , Jiwen Liu , Borui Liao , Hejia Chen , Xiaoqiang Liu , Pengfei Wan
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