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Talking head generation creates lifelike avatars from static portraits for virtual communication and content creation. However, current models do not yet convey the feeling of truly interactive communication, often generating one-way…

Machine Learning · Computer Science 2026-01-05 Taekyung Ki , Sangwon Jang , Jaehyeong Jo , Jaehong Yoon , Sung Ju Hwang

Speech-driven facial video generation has been a complex problem due to its multi-modal aspects namely audio and video domain. The audio comprises lots of underlying features such as expression, pitch, loudness, prosody(speaking style) and…

Computer Vision and Pattern Recognition · Computer Science 2020-12-15 Neeraj Kumar , Srishti Goel , Ankur Narang , Brejesh Lall

Denoising is a crucial step in many video processing pipelines such as in interactive editing, where high quality, speed, and user control are essential. While recent approaches achieve significant improvements in denoising quality by…

Computer Vision and Pattern Recognition · Computer Science 2025-04-07 Xin Jin , Simon Niklaus , Zhoutong Zhang , Zhihao Xia , Chunle Guo , Yuting Yang , Jiawen Chen , Chongyi Li

Surveillance scenarios are prone to several problems since they usually involve low-resolution footage, and there is no control of how far the subjects may be from the camera in the first place. This situation is suitable for the…

Computer Vision and Pattern Recognition · Computer Science 2021-01-27 Angelo G. Menezes

Facial animation is a core component for creating digital characters in Computer Graphics (CG) industry. A typical production workflow relies on sparse, semantically meaningful keyframes to precisely control facial expressions. Enabling…

Computer Vision and Pattern Recognition · Computer Science 2026-05-13 Jingchao Wu , Zejian Kang , Haibo Liu , Yuanchen Fei , Xiangru Huang

Recently, the recognition task of spontaneous facial micro-expressions has attracted much attention with its various real-world applications. Plenty of handcrafted or learned features have been employed for a variety of classifiers and…

Computer Vision and Pattern Recognition · Computer Science 2019-01-16 Zhaoqiang Xia , Xiaopeng Hong , Xingyu Gao , Xiaoyi Feng , Guoying Zhao

Natural language instructions are a powerful interface for editing the outputs of text-to-image diffusion models. However, several challenges need to be addressed: 1) underspecification (the need to model the implicit meaning of…

Computation and Language · Computer Science 2023-10-31 Tuhin Chakrabarty , Kanishk Singh , Arkadiy Saakyan , Smaranda Muresan

We propose an automatic video inpainting algorithm which relies on the optimisation of a global, patch-based functional. Our algorithm is able to deal with a variety of challenging situations which naturally arise in video inpainting, such…

Computer Vision and Pattern Recognition · Computer Science 2017-12-08 Alasdair Newson , Andrés Almansa , Matthieu Fradet , Yann Gousseau , Patrick Pérez

Cartoon editing, appreciated by both professional illustrators and hobbyists, allows extensive creative freedom and the development of original narratives within the cartoon domain. However, the existing literature on cartoon editing is…

Computer Vision and Pattern Recognition · Computer Science 2023-12-05 Jian Lin , Chengze Li , Xueting Liu , Zhongping Ge

Neural radiance fields (NeRF) achieve highly photo-realistic novel-view synthesis, but it's a challenging problem to edit the scenes modeled by NeRF-based methods, especially for dynamic scenes. We propose editable neural radiance fields…

Computer Vision and Pattern Recognition · Computer Science 2023-03-29 Chengwei Zheng , Wenbin Lin , Feng Xu

Recent diffusion-based image editing approaches have exhibited impressive editing capabilities in images with simple compositions. However, localized editing in complex scenarios has not been well-studied in the literature, despite its…

Computer Vision and Pattern Recognition · Computer Science 2023-12-22 Qi Mao , Lan Chen , Yuchao Gu , Zhen Fang , Mike Zheng Shou

Neural rendering is a new image and video generation method based on deep learning. It combines the deep learning model with the physical knowledge of computer graphics, to obtain a controllable and realistic scene model, and realize the…

Graphics · Computer Science 2024-02-02 Xinkai Yan , Jieting Xu , Yuchi Huo , Hujun Bao

In recent years, the role of image generative models in facial reenactment has been steadily increasing. Such models are usually subject-agnostic and trained on domain-wide datasets. The appearance of the reenacted individual is learned…

Computer Vision and Pattern Recognition · Computer Science 2023-07-13 Ariel Elazary , Yotam Nitzan , Daniel Cohen-Or

Traditional face editing methods often require a number of sophisticated and task specific algorithms to be applied one after the other --- a process that is tedious, fragile, and computationally intensive. In this paper, we propose an…

Computer Vision and Pattern Recognition · Computer Science 2017-04-14 Zhixin Shu , Ersin Yumer , Sunil Hadap , Kalyan Sunkavalli , Eli Shechtman , Dimitris Samaras

The creation of altered and manipulated faces has become more common due to the improvement of DeepFake generation methods. Simultaneously, we have seen detection models' development for differentiating between a manipulated and original…

Computer Vision and Pattern Recognition · Computer Science 2021-08-27 Sowmen Das , Selim Seferbekov , Arup Datta , Md. Saiful Islam , Md. Ruhul Amin

With the rapid advancement of commercial multi-modal models, image editing has garnered significant attention due to its widespread applicability in daily life. Despite impressive progress, existing image editing systems, particularly…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Yiran Zhao , Yaoqi Ye , Xiang Liu , Michael Qizhe Shieh , Trung Bui

Recent advancements in image editing have utilized large-scale multimodal models to enable intuitive, natural instruction-driven interactions. However, conventional methods still face significant challenges, particularly in spatial…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Qianqian Sun , Jixiang Luo , Dell Zhang , Xuelong Li

Real-world talking faces often accompany with natural head movement. However, most existing talking face video generation methods only consider facial animation with fixed head pose. In this paper, we address this problem by proposing a…

Computer Vision and Pattern Recognition · Computer Science 2020-03-06 Ran Yi , Zipeng Ye , Juyong Zhang , Hujun Bao , Yong-Jin Liu

High quality facial image editing is a challenging problem in the movie post-production industry, requiring a high degree of control and identity preservation. Previous works that attempt to tackle this problem may suffer from the…

Computer Vision and Pattern Recognition · Computer Science 2021-08-18 Xu Yao , Alasdair Newson , Yann Gousseau , Pierre Hellier

We address the problem of facial expression editing by controling the relative variation of facial action-unit (AU) from the same person. This enables us to edit this specific person's expression in a fine-grained, continuous and…

Computer Vision and Pattern Recognition · Computer Science 2025-11-21 Mengting Wei , Tuomas Varanka , Xingxun Jiang , Huai-Qian Khor , Guoying Zhao