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Existing neural head avatars methods have achieved significant progress in the image quality and motion range of portrait animation. However, these methods neglect the computational overhead, and to the best of our knowledge, none is…

Computer Vision and Pattern Recognition · Computer Science 2025-04-09 Jianwen Jiang , Gaojie Lin , Zhengkun Rong , Chao Liang , Yongming Zhu , Jiaqi Yang , Tianyun Zhong

Video creation has been an attractive yet challenging task for artists to explore. With the advancement of deep learning, recent works try to utilize deep convolutional neural networks to synthesize a video with the aid of a guiding video,…

Computer Vision and Pattern Recognition · Computer Science 2021-10-12 Haichao Zhang , Gang Yu , Tao Chen , Guozhong Luo

Volumetric neural rendering methods, such as neural radiance fields (NeRFs), have enabled photo-realistic novel view synthesis. However, in their standard form, NeRFs do not support the editing of objects, such as a human head, within a…

Computer Vision and Pattern Recognition · Computer Science 2022-06-15 ShahRukh Athar , Zexiang Xu , Kalyan Sunkavalli , Eli Shechtman , Zhixin Shu

Humanoid facial expression shadowing enables robots to realistically imitate human facial expressions in real time, which is critical for lifelike, facially expressive humanoid robots and affective human-robot interaction. Existing progress…

Robotics · Computer Science 2026-02-17 Peizhen Li , Longbing Cao , Xiao-Ming Wu , Yang Zhang

Previous animatable 3D-aware GANs for human generation have primarily focused on either the human head or full body. However, head-only videos are relatively uncommon in real life, and full body generation typically does not deal with…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Yue Wu , Sicheng Xu , Jianfeng Xiang , Fangyun Wei , Qifeng Chen , Jiaolong Yang , Xin Tong

Arbitrary Style Transfer is a technique used to produce a new image from two images: a content image, and a style image. The newly produced image is unseen and is generated from the algorithm itself. Balancing the structure and style…

Computer Vision and Pattern Recognition · Computer Science 2022-12-23 Weiting Li , Rahul Vyas , Ramya Sree Penta

Children's drawings have a wonderful inventiveness, creativity, and variety to them. We present a system that automatically animates children's drawings of the human figure, is robust to the variance inherent in these depictions, and is…

Computer Vision and Pattern Recognition · Computer Science 2023-04-05 Harrison Jesse Smith , Qingyuan Zheng , Yifei Li , Somya Jain , Jessica K. Hodgins

In the burgeoning field of AI-driven image generation, the quest for precision and relevance in response to textual prompts remains paramount. This paper introduces GPTDrawer, an innovative pipeline that leverages the generative prowess of…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Kun Li , Xinwei Chen , Tianyou Song , Hansong Zhang , Wenzhe Zhang , Qing Shan

While substantial progresses have been made in automated 2D portrait stylization, admirable 3D portrait stylization from a single user photo remains to be an unresolved challenge. One primary obstacle here is the lack of high quality…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Guoxian Song , Hongyi Xu , Jing Liu , Tiancheng Zhi , Yichun Shi , Jianfeng Zhang , Zihang Jiang , Jiashi Feng , Shen Sang , Linjie Luo

Line art is arguably one of the fundamental and versatile modes of expression. We propose a pipeline for a robot to look at a grayscale line art and redraw it. The key novel elements of our pipeline are: a) we propose a novel task of…

Computer Vision and Pattern Recognition · Computer Science 2020-11-16 Raghav Brahmadesam Venkataramaiyer , Subham Kumar , Vinay P. Namboodiri

We introduce DeepMorph, an information embedding technique for vector drawings. Provided a vector drawing, such as a Scalable Vector Graphics (SVG) file, our method embeds bitstrings in the image by perturbing the drawing primitives (lines,…

Computer Vision and Pattern Recognition · Computer Science 2020-11-20 Søren Rasmussen , Karsten Østergaard Noe , Oliver Gyldenberg Hjermitslev , Henrik Pedersen

With the advancement of generative artificial intelligence, previous studies have achieved the task of generating aesthetic images from hand-drawn sketches, fulfilling the public's needs for drawing. However, these methods are limited to…

Computer Vision and Pattern Recognition · Computer Science 2025-02-18 Lifan Jiang , Shuang Chen , Boxi Wu , Xiaotong Guan , Jiahui Zhang

The quadratic time and memory complexity inherent to self-attention mechanisms, with respect to sequence length, presents a critical computational bottleneck in the training and deployment of large-scale Transformer-based language models.…

Machine Learning · Computer Science 2024-03-19 Praneeth Kacham , Vahab Mirrokni , Peilin Zhong

Face reenactment methods attempt to restore and re-animate portrait videos as realistically as possible. Existing methods face a dilemma in quality versus controllability: 2D GAN-based methods achieve higher image quality but suffer in…

Computer Vision and Pattern Recognition · Computer Science 2023-05-02 Lizhen Wang , Xiaochen Zhao , Jingxiang Sun , Yuxiang Zhang , Hongwen Zhang , Tao Yu , Yebin Liu

AI systems rely on extensive training on large datasets to address various tasks. However, image-based systems, particularly those used for demographic attribute prediction, face significant challenges. Many current face image datasets…

Computer Vision and Pattern Recognition · Computer Science 2024-04-30 Georgia Baltsou , Ioannis Sarridis , Christos Koutlis , Symeon Papadopoulos

Sketching is used as a ubiquitous tool of expression by novices and experts alike. In this thesis I explore two methods that help a system provide a geometric machine-understanding of sketches, and in-turn help a user accomplish a…

Computer Vision and Pattern Recognition · Computer Science 2022-04-15 Raghav Brahmadesam Venkataramaiyer

Facial sketches are both a concise way of showing the identity of a person and a means to express artistic intention. While a few techniques have recently emerged that allow sketches to be extracted in different styles, they typically rely…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Kwan Yun , Kwanggyoon Seo , Chang Wook Seo , Soyeon Yoon , Seongcheol Kim , Soohyun Ji , Amirsaman Ashtari , Junyong Noh

Image-guided drawing can compensate for the lack of skills but often requires a significant number of repetitive strokes to create textures. Existing automatic stroke synthesis methods are usually limited to predefined styles or require…

Graphics · Computer Science 2021-08-17 Yilan Chen , Kin Chung Kwan , Li-Yi Wei , Hongbo Fu

We present Make-A-Texture, a new framework that efficiently synthesizes high-resolution texture maps from textual prompts for given 3D geometries. Our approach progressively generates textures that are consistent across multiple viewpoints…

Computer Vision and Pattern Recognition · Computer Science 2025-01-28 Xiaoyu Xiang , Liat Sless Gorelik , Yuchen Fan , Omri Armstrong , Forrest Iandola , Yilei Li , Ita Lifshitz , Rakesh Ranjan

Authoring an appealing animation for a virtual character is a challenging task. In computer-aided keyframe animation artists define the key poses of a character by manipulating its underlying skeletons. To look plausible, a character pose…

Graphics · Computer Science 2021-07-02 Léon Victor , Alexandre Meyer , Saïda Bouakaz