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Character image animation has rapidly advanced with the rise of digital humans. However, existing methods rely largely on 2D-rendered pose images for motion guidance, which limits generalization and discards essential 4D information for…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Yanbo Ding , Xirui Hu , Zhizhi Guo , Yan Zhang , Xinrui Wang , Zhixiang He , Chi Zhang , Yali Wang , Xuelong Li

Recent advancements in personalized Text-to-Video (T2V) generation have made significant strides in synthesizing character-specific content. However, these methods face a critical limitation: the inability to perform fine-grained control…

Computer Vision and Pattern Recognition · Computer Science 2026-01-06 Haopeng Fang , Di Qiu , Binjie Mao , He Tang

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

With the popularity of monocular videos generated by video sharing and live broadcasting applications, reconstructing and editing dynamic scenes in stationary monocular cameras has become a special but anticipated technology. In contrast to…

Computer Vision and Pattern Recognition · Computer Science 2024-02-02 Weixing Xie , Xiao Dong , Yong Yang , Qiqin Lin , Jingze Chen , Junfeng Yao , Xiaohu Guo

The generative capabilities of Large Language Models (LLMs) are rapidly expanding from static code to dynamic, interactive visual artifacts. This progress is bottlenecked by a critical evaluation gap: established benchmarks focus on…

AI-driven content creation has shown potential in film production. However, existing film generation systems struggle to implement cinematic principles and thus fail to generate professional-quality films, particularly lacking diverse…

Computer Vision and Pattern Recognition · Computer Science 2025-06-24 Kaiyi Huang , Yukun Huang , Xintao Wang , Zinan Lin , Xuefei Ning , Pengfei Wan , Di Zhang , Yu Wang , Xihui Liu

Recent advances in 3D scene reconstruction and 4D human animation have broadened adoption, but integrating the two remains difficult. Key challenges include placing humans at plausible locations and scales without interpenetration, aligning…

Computer Vision and Pattern Recognition · Computer Science 2026-03-02 Qingyang Liu , Bingjie Gao , Weiheng Huang , Jun Zhang , Zhongqian Sun , Yang Wei , Fengrui Liu , Zelin Peng , Qianli Ma , Shuai Yang , Zhaohe Liao , Haonan Zhao , Li Niu

Text-to-video generation has been dominated by diffusion-based or autoregressive models. These novel models provide plausible versatility, but are criticized for improper physical motion, shading and illumination, camera motion, and…

Computer Vision and Pattern Recognition · Computer Science 2025-05-06 Liu He , Yizhi Song , Hejun Huang , Pinxin Liu , Yunlong Tang , Daniel Aliaga , Xin Zhou

Aerial vehicles are revolutionizing the way film-makers can capture shots of actors by composing novel aerial and dynamic viewpoints. However, despite great advancements in autonomous flight technology, generating expressive camera…

Computer Vision and Pattern Recognition · Computer Science 2021-04-02 Rogerio Bonatti , Arthur Bucker , Sebastian Scherer , Mustafa Mukadam , Jessica Hodgins

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

This paper offers the first comprehensive review of artificial intelligence (AI) research in the context of real camera content acquisition for entertainment purposes and is aimed at both researchers and cinematographers. Addressing the…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Adrian Azzarelli , Nantheera Anantrasirichai , David R Bull

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

The emerging field of panoramic video generation from text and image prompts unlocks new creative possibilities in virtual reality (VR), addressing the limitations of current immersive experiences, which are constrained by pre-designed…

Human-Computer Interaction · Computer Science 2025-01-28 Yunge Wen

Current advances in human head modeling allow the generation of plausible-looking 3D head models via neural representations, such as NeRFs and SDFs. Nevertheless, constructing complete high-fidelity head models with explicitly controlled…

Computer Vision and Pattern Recognition · Computer Science 2025-02-03 Artem Sevastopolsky , Philip-William Grassal , Simon Giebenhain , ShahRukh Athar , Luisa Verdoliva , Matthias Niessner

Recent advancements in generative models have provided promising solutions for synthesizing realistic driving videos, which are crucial for training autonomous driving perception models. However, existing approaches often struggle with…

Computer Vision and Pattern Recognition · Computer Science 2024-09-13 Wei Wu , Xi Guo , Weixuan Tang , Tingxuan Huang , Chiyu Wang , Dongyue Chen , Chenjing Ding

Visual content creation tasks demand a nuanced understanding of design conventions and creative workflows-capabilities challenging for general models, while workflow-based agents lack specialized knowledge for autonomous creative planning.…

Computer Vision and Pattern Recognition · Computer Science 2026-03-04 Jinxiang Lai , Zexin Lu , Jiajun He , Rongwei Quan , Wenzhe Zhao , Qinyu Yang , Qi Chen , Qin Lin , Chuyue Li , Tao Gao , Yuhao Shan , Shuai Shao , Song Guo , Qinglin Lu

Dense and versatile image representations underpin the success of virtually all computer vision applications. However, state-of-the-art networks, such as transformers, produce low-resolution feature grids, which are suboptimal for dense…

Computer Vision and Pattern Recognition · Computer Science 2025-11-12 Nikita Araslanov , Anna Sonnweber , Daniel Cremers

We introduce GarmentCrafter, a new approach that enables non-professional users to create and modify 3D garments from a single-view image. While recent advances in image generation have facilitated 2D garment design, creating and editing 3D…

Visual documentation is an effective tool for reducing the cognitive barrier developers face when understanding unfamiliar code, enabling more intuitive comprehension. Compared to textual documentation, it provides a higher-level…

Software Engineering · Computer Science 2025-09-16 Luís F. Gomes , Xin Zhou , David Lo , Rui Abreu

Modeling and manipulating elasto-plastic objects are essential capabilities for robots to perform complex industrial and household interaction tasks (e.g., stuffing dumplings, rolling sushi, and making pottery). However, due to the high…

Robotics · Computer Science 2022-05-09 Haochen Shi , Huazhe Xu , Zhiao Huang , Yunzhu Li , Jiajun Wu