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Related papers: SketchVideo: Sketch-based Video Generation and Edi…

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Surgical simulation plays a pivotal role in training novice surgeons, accelerating their learning curve and reducing intra-operative errors. However, conventional simulation tools fall short in providing the necessary photorealism and the…

Computer Vision and Pattern Recognition · Computer Science 2025-06-16 Ssharvien Kumar Sivakumar , Yannik Frisch , Ghazal Ghazaei , Anirban Mukhopadhyay

Text-driven video generation witnesses rapid progress. However, merely using text prompts is not enough to depict the desired subject appearance that accurately aligns with users' intents, especially for customized content creation. In this…

Computer Vision and Pattern Recognition · Computer Science 2023-12-04 Yuming Jiang , Tianxing Wu , Shuai Yang , Chenyang Si , Dahua Lin , Yu Qiao , Chen Change Loy , Ziwei Liu

Recent years have seen substantial progress in diffusion-based controllable video generation. However, achieving precise control in complex scenarios, including fine-grained object parts, sophisticated motion trajectories, and coherent…

Computer Vision and Pattern Recognition · Computer Science 2025-01-07 Haitao Zhou , Chuang Wang , Rui Nie , Jinlin Liu , Dongdong Yu , Qian Yu , Changhu Wang

Recent video generation models have achieved remarkable progress and are now deployed in film, social media production, and advertising. Beyond their creative potential, such models also hold promise as world simulators for robotics and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 David Romero , Ariana Bermudez , Viacheslav Iablochnikov , Hao Li , Fabio Pizzati , Ivan Laptev

We introduce InstructVid2Vid, an end-to-end diffusion-based methodology for video editing guided by human language instructions. Our approach empowers video manipulation guided by natural language directives, eliminating the need for…

Computer Vision and Pattern Recognition · Computer Science 2024-05-30 Bosheng Qin , Juncheng Li , Siliang Tang , Tat-Seng Chua , Yueting Zhuang

Video models have recently been applied with success to problems in content generation, novel view synthesis, and, more broadly, world simulation. Many applications in generation and transfer rely on conditioning these models, typically…

Computer Vision and Pattern Recognition · Computer Science 2026-04-03 Edoardo A. Dominici , Thomas Deixelberger , Konstantinos Vardis , Markus Steinberger

Instructional video generation is an emerging task that aims to synthesize coherent demonstrations of procedural activities from textual descriptions. Such capability has broad implications for content creation, education, and human-AI…

Computer Vision and Pattern Recognition · Computer Science 2025-12-16 Cheeun Hong , German Barquero , Fadime Sener , Markos Georgopoulos , Edgar Schönfeld , Stefan Popov , Yuming Du , Oscar Mañas , Albert Pumarola

Understanding and predicting dynamics of the physical world can enhance a robot's ability to plan and interact effectively in complex environments. While recent video generation models have shown strong potential in modeling dynamic scenes,…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Zeyi Liu , Shuang Li , Eric Cousineau , Siyuan Feng , Benjamin Burchfiel , Shuran Song

Existing text-to-video (T2V) models often struggle with generating videos with sufficiently pronounced or complex actions. A key limitation lies in the text prompt's inability to precisely convey intricate motion details. To address this,…

Computer Vision and Pattern Recognition · Computer Science 2024-11-14 Qiang Zhou , Shaofeng Zhang , Nianzu Yang , Ye Qian , Hao Li

Text-driven diffusion models have unlocked unprecedented abilities in image generation, whereas their video counterpart still lags behind due to the excessive training cost of temporal modeling. Besides the training burden, the generated…

Computer Vision and Pattern Recognition · Computer Science 2023-05-23 Yabo Zhang , Yuxiang Wei , Dongsheng Jiang , Xiaopeng Zhang , Wangmeng Zuo , Qi Tian

Computer-aided design (CAD) is the most widely used modeling approach for technical design. The typical starting point in these designs is 2D sketches which can later be extruded and combined to obtain complex three-dimensional assemblies.…

Machine Learning · Computer Science 2021-06-08 Wamiq Reyaz Para , Shariq Farooq Bhat , Paul Guerrero , Tom Kelly , Niloy Mitra , Leonidas Guibas , Peter Wonka

Text-editable and pose-controllable character video generation is a challenging but prevailing topic with practical applications. However, existing approaches mainly focus on single-object video generation with pose guidance, ignoring the…

Computer Vision and Pattern Recognition · Computer Science 2024-12-30 Beiyuan Zhang , Yue Ma , Chunlei Fu , Xinyang Song , Zhenan Sun , Ziqiang Li

We propose a generative model that, given a coarsely edited image, synthesizes a photorealistic output that follows the prescribed layout. Our method transfers fine details from the original image and preserve the identity of its parts.…

Computer Vision and Pattern Recognition · Computer Science 2025-08-08 Hadi Alzayer , Zhihao Xia , Xuaner Zhang , Eli Shechtman , Jia-Bin Huang , Michael Gharbi

Generating high-quality 3D models from 2D sketches is a challenging task due to the inherent ambiguity and sparsity of sketch data. In this paper, we present S3D, a novel framework that converts simple hand-drawn sketches into detailed 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-06-04 Hail Song , Wonsik Shin , Naeun Lee , Soomin Chung , Nojun Kwak , Woontack Woo

Recent advances in text-to-image (T2I) diffusion models have enabled impressive image generation capabilities guided by text prompts. However, extending these techniques to video generation remains challenging, with existing text-to-video…

Computer Vision and Pattern Recognition · Computer Science 2024-08-13 Weifeng Chen , Yatai Ji , Jie Wu , Hefeng Wu , Pan Xie , Jiashi Li , Xin Xia , Xuefeng Xiao , Liang Lin

This paper presents Video-P2P, a novel framework for real-world video editing with cross-attention control. While attention control has proven effective for image editing with pre-trained image generation models, there are currently no…

Computer Vision and Pattern Recognition · Computer Science 2023-03-09 Shaoteng Liu , Yuechen Zhang , Wenbo Li , Zhe Lin , Jiaya Jia

The field of video generation has expanded significantly in recent years, with controllable and compositional video generation garnering considerable interest. Most methods rely on leveraging annotations such as text, objects' bounding…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Aram Davtyan , Sepehr Sameni , Björn Ommer , Paolo Favaro

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

Based on recent advanced diffusion models, Text-to-image (T2I) generation models have demonstrated their capabilities to generate diverse and high-quality images. However, leveraging their potential for real-world content creation,…

Computer Vision and Pattern Recognition · Computer Science 2025-05-08 Sandra Zhang Ding , Jiafeng Mao , Kiyoharu Aizawa

In this work, we present a novel approach for motion customization in video generation, addressing the widespread gap in the exploration of motion representation within video generative models. Recognizing the unique challenges posed by the…

Computer Vision and Pattern Recognition · Computer Science 2024-10-18 Luozhou Wang , Ziyang Mai , Guibao Shen , Yixun Liang , Xin Tao , Pengfei Wan , Di Zhang , Yijun Li , Yingcong Chen
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