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The emergence of text-driven motion synthesis technique provides animators with great potential to create efficiently. However, in most cases, textual expressions only contain general and qualitative motion descriptions, while lack fine…

Computer Vision and Pattern Recognition · Computer Science 2023-12-27 Dong Wei , Xiaoning Sun , Huaijiang Sun , Bin Li , Shengxiang Hu , Weiqing Li , Jianfeng Lu

With captivating visual effects, stylized 3D character animation has gained widespread use in cinematic production, advertising, social media, and the potential development of virtual reality (VR) non-player characters (NPCs). However,…

Human-Computer Interaction · Computer Science 2025-08-05 Xinwu Ye , Jun-Hsiang Yao , Jielin Feng , Shuhong Mei , Xingyu Lan , Siming Chen

The rise of large language models (LLMs) has given rise to a class of prompt-based interactive systems where users primarily express their input in natural language. However, composing a prompt as a linear text string becomes unwieldy when…

Human-Computer Interaction · Computer Science 2026-04-22 Tengyou Xu , Detao Ma , Xiang 'Anthony' Chen

Programmers increasingly rely on Large Language Models (LLMs) for code generation. However, misalignment between programmers' goals and generated code complicates the code evaluation process and demands frequent switching between prompt…

Software Engineering · Computer Science 2023-12-27 Ryan Yen , Jiawen Zhu , Sangho Suh , Haijun Xia , Jian Zhao

Prototyping AI applications is notoriously difficult. While large language model (LLM) prompting has dramatically lowered the barriers to AI prototyping, designers are still prototyping AI functionality and UI separately. We investigate how…

Human-Computer Interaction · Computer Science 2023-10-25 Savvas Petridis , Michael Terry , Carrie J. Cai

The ability to generate complex and realistic human body animations at scale, while following specific artistic constraints, has been a fundamental goal for the game and animation industry for decades. Popular techniques include…

Computer Vision and Pattern Recognition · Computer Science 2020-05-29 Yi Zhou , Jingwan Lu , Connelly Barnes , Jimei Yang , Sitao Xiang , Hao li

Prompt engineering is a technique that involves augmenting a large pre-trained model with task-specific hints, known as prompts, to adapt the model to new tasks. Prompts can be created manually as natural language instructions or generated…

Computer Vision and Pattern Recognition · Computer Science 2023-07-25 Jindong Gu , Zhen Han , Shuo Chen , Ahmad Beirami , Bailan He , Gengyuan Zhang , Ruotong Liao , Yao Qin , Volker Tresp , Philip Torr

Large language models (LLMs) have shown great potential in automating significant aspects of coding by producing natural code from informal natural language (NL) intent. However, given NL is informal, it does not lend easily to checking…

Software Engineering · Computer Science 2024-10-04 Sarah Fakhoury , Aaditya Naik , Georgios Sakkas , Saikat Chakraborty , Shuvendu K. Lahiri

Speech-driven 3D facial animation aims to synthesize realistic facial motion sequences from given audio, matching the speaker's speaking style. However, previous works often require priors such as class labels of a speaker or additional 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-08-26 Hyung Kyu Kim , Sangmin Lee , Hak Gu Kim

Many recent prompting strategies for large language models (LLMs) query the model multiple times sequentially -- first to produce intermediate results and then the final answer. However, using these methods, both decoder and model are…

Computation and Language · Computer Science 2023-11-10 Luca Beurer-Kellner , Mark Niklas Müller , Marc Fischer , Martin Vechev

In this pilot project, we teamed up with artists to develop new workflows for 2D animation while producing a short educational cartoon. We identified several workflows to streamline the animation process, bringing the artists' vision to the…

Graphics · Computer Science 2024-05-24 Jaime Guajardo , Ozgun Bursalioglu , Dan B Goldman

We present a general-purpose framework for image modelling and vision tasks based on probabilistic frame prediction. Our approach unifies a broad range of tasks, from image segmentation, to novel view synthesis and video interpolation. We…

Computer Vision and Pattern Recognition · Computer Science 2022-05-10 Charlie Nash , João Carreira , Jacob Walker , Iain Barr , Andrew Jaegle , Mateusz Malinowski , Peter Battaglia

The growing integration of AI tools in software development, particularly Large Language Models (LLMs) such as ChatGPT, has revolutionized how developers approach coding tasks. However, achieving high-quality code often requires iterative…

Software Engineering · Computer Science 2025-06-03 Sophia DiCuffa , Amanda Zambrana , Priyanshi Yadav , Sashidhar Madiraju , Khushi Suman , Eman Abdullah AlOmar

Recent advancements in video generation models have significantly improved their ability to follow text prompts. However, the customization of dynamic visual effects, defined as temporally evolving and appearance-driven visual phenomena…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Rui Zhao , Mike Zheng Shou

Environment designers in the entertainment industry create imaginative 2D and 3D scenes for games, films, and television, requiring both fine-grained control of specific details and consistent global coherence. Designers have increasingly…

Human-Computer Interaction · Computer Science 2025-09-03 Wen-Fan Wang , Ting-Ying Lee , Chien-Ting Lu , Che-Wei Hsu , Nil Ponsa Campanyà , Yu Chen , Mike Y. Chen , Bing-Yu Chen

Automating the transformation of user interface (UI) designs into front-end code holds significant promise for accelerating software development and democratizing design workflows. While multimodal large language models (MLLMs) can…

Computer Vision and Pattern Recognition · Computer Science 2025-10-21 Yilei Jiang , Yaozhi Zheng , Yuxuan Wan , Jiaming Han , Qunzhong Wang , Michael R. Lyu , Xiangyu Yue

In robotic, task goals can be conveyed through various modalities, such as language, goal images, and goal videos. However, natural language can be ambiguous, while images or videos may offer overly detailed specifications. To tackle these…

Current audio-driven facial animation methods achieve impressive results for short videos but suffer from error accumulation and identity drift when extended to longer durations. Existing methods attempt to mitigate this through external…

Sketching is a uniquely human tool for expressing ideas and creativity. The animation of sketches infuses life into these static drawings, opening a new dimension for designers. Animating sketches is a time-consuming process that demands…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 Ruolin Yang , Da Li , Honggang Zhang , Yi-Zhe Song

Text-to-image generation models have seen considerable advancement, catering to the increasing interest in personalized image creation. Current customization techniques often necessitate users to provide multiple images (typically 3-5) for…

Computer Vision and Pattern Recognition · Computer Science 2024-05-28 Linhao Zhong , Yan Hong , Wentao Chen , Binglin Zhou , Yiyi Zhang , Jianfu Zhang , Liqing Zhang