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Related papers: Real-Time Portrait Stylization on the Edge

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Photorealistic style transfer is the task of transferring the artistic style of an image onto a content target, producing a result that is plausibly taken with a camera. Recent approaches, based on deep neural networks, produce impressive…

Computer Vision and Pattern Recognition · Computer Science 2020-04-28 Xide Xia , Meng Zhang , Tianfan Xue , Zheng Sun , Hui Fang , Brian Kulis , Jiawen Chen

In this paper, we present EdgeRelight360, an approach for real-time video portrait relighting on mobile devices, utilizing text-conditioned generation of 360-degree high dynamic range image (HDRI) maps. Our method proposes a diffusion-based…

Computer Vision and Pattern Recognition · Computer Science 2024-04-16 Min-Hui Lin , Mahesh Reddy , Guillaume Berger , Michel Sarkis , Fatih Porikli , Ning Bi

With the remarkable recent progress on learning deep generative models, it becomes increasingly interesting to develop models for controllable image synthesis from reconfigurable inputs. This paper focuses on a recent emerged task,…

Computer Vision and Pattern Recognition · Computer Science 2021-03-30 Wei Sun , Tianfu Wu

Our animation studio has developed a practical style transfer pipeline for creating stylized 3D animation, which is suitable for complex real-world production. This paper presents the insights from our development process, where we explored…

Graphics · Computer Science 2024-11-01 Hideki Todo , Yuki Koyama , Kunihiro Sakai , Akihiro Komiya , Jun Kato

Personalisation in smart phones requires adaptability to dynamic context based on user mobility, application usage and sensor inputs. Current personalisation approaches, which rely on static logic that is developed a priori, do not provide…

Neural and Evolutionary Computing · Computer Science 2014-08-12 Philip Valencia , Aiden Haak , Alban Cotillon , Raja Jurdak

We propose a lightweight real-time method for reconstructing strand-based hair G-Buffers from severely undersampled rasterized inputs. Our pipeline first applies neural spatial reconstruction and temporal accumulation to recover hair…

Graphics · Computer Science 2026-05-19 Chenghao Wu , Yuefan Shen , Tao Huang , Kai Yan , Zahra Montazeri , Kui Wu

We address the problem of using hand-drawn sketches to create exaggerated deformations to faces in videos, such as enlarging the shape or modifying the position of eyes or mouth. This task is formulated as a 3D face model reconstruction and…

Computer Vision and Pattern Recognition · Computer Science 2019-01-29 Long Zhao , Fangda Han , Xi Peng , Xun Zhang , Mubbasir Kapadia , Vladimir Pavlovic , Dimitris N. Metaxas

Audio-driven talking head animation is a challenging research topic with many real-world applications. Recent works have focused on creating photo-realistic 2D animation, while learning different talking or singing styles remains an open…

Computer Vision and Pattern Recognition · Computer Science 2023-03-23 Trong-Thang Pham , Nhat Le , Tuong Do , Hung Nguyen , Erman Tjiputra , Quang D. Tran , Anh Nguyen

Talking head synthesis, an advanced method for generating portrait videos from a still image driven by specific content, has garnered widespread attention in virtual reality, augmented reality and game production. Recently, significant…

Computer Vision and Pattern Recognition · Computer Science 2024-06-19 Ming Meng , Yufei Zhao , Bo Zhang , Yonggui Zhu , Weimin Shi , Maxwell Wen , Zhaoxin Fan

Greyscale image colorization for applications in image restoration has seen significant improvements in recent years. Many of these techniques that use learning-based methods struggle to effectively colorize sparse inputs. With the…

Computer Vision and Pattern Recognition · Computer Science 2019-04-23 Harrish Thasarathan , Kamyar Nazeri , Mehran Ebrahimi

Caricature is an exaggerated form of artistic portraiture that accentuates unique yet subtle characteristics of human faces. Recently, advancements in deep end-to-end techniques have yielded encouraging outcomes in capturing both style and…

Computer Vision and Pattern Recognition · Computer Science 2023-11-23 Lamyanba Laishram , Muhammad Shaheryar , Jong Taek Lee , Soon Ki Jung

Personalization has emerged as a prominent aspect within the field of generative AI, enabling the synthesis of individuals in diverse contexts and styles, while retaining high-fidelity to their identities. However, the process of…

Computer Vision and Pattern Recognition · Computer Science 2024-10-18 Nataniel Ruiz , Yuanzhen Li , Varun Jampani , Wei Wei , Tingbo Hou , Yael Pritch , Neal Wadhwa , Michael Rubinstein , Kfir Aberman

Generative Adversarial Networks are used for generating the data using a generator and a discriminator, GANs usually produce high-quality images, but training GANs in an adversarial setting is a difficult task. GANs require high computation…

Computer Vision and Pattern Recognition · Computer Science 2023-08-01 Md Nurul Muttakin , Malik Shahid Sultan , Robert Hoehndorf , Hernando Ombao

Cosplay has grown from its origins at fan conventions into a billion-dollar global dress phenomenon. To facilitate imagination and reinterpretation from animated images to real garments, this paper presents an automatic costume image…

Computer Vision and Pattern Recognition · Computer Science 2020-08-27 Koya Tango , Marie Katsurai , Hayato Maki , Ryosuke Goto

We present a method to edit a target portrait footage by taking a sequence of audio as input to synthesize a photo-realistic video. This method is unique because it is highly dynamic. It does not assume a person-specific rendering network…

Computer Vision and Pattern Recognition · Computer Science 2020-01-16 Linsen Song , Wayne Wu , Chen Qian , Ran He , Chen Change Loy

We propose a neural rendering-based system that creates head avatars from a single photograph. Our approach models a person's appearance by decomposing it into two layers. The first layer is a pose-dependent coarse image that is synthesized…

Computer Vision and Pattern Recognition · Computer Science 2020-08-25 Egor Zakharov , Aleksei Ivakhnenko , Aliaksandra Shysheya , Victor Lempitsky

We propose a learning based method for generating new animations of a cartoon character given a few example images. Our method is designed to learn from a traditionally animated sequence, where each frame is drawn by an artist, and thus the…

Computer Vision and Pattern Recognition · Computer Science 2020-10-14 Omid Poursaeed , Vladimir G. Kim , Eli Shechtman , Jun Saito , Serge Belongie

This work presents 3DPE, a practical method that can efficiently edit a face image following given prompts, like reference images or text descriptions, in a 3D-aware manner. To this end, a lightweight module is distilled from a 3D portrait…

Computer Vision and Pattern Recognition · Computer Science 2024-07-19 Qingyan Bai , Zifan Shi , Yinghao Xu , Hao Ouyang , Qiuyu Wang , Ceyuan Yang , Xuan Wang , Gordon Wetzstein , Yujun Shen , Qifeng Chen

We propose a method to build in real-time animated 3D head models using a consumer-grade RGB-D camera. Our proposed method is the first one to provide simultaneously comprehensive facial motion tracking and a detailed 3D model of the user's…

Computer Vision and Pattern Recognition · Computer Science 2020-04-23 Diego Thomas

Coloring line art images based on the colors of reference images is an important stage in animation production, which is time-consuming and tedious. In this paper, we propose a deep architecture to automatically color line art videos with…

Computer Vision and Pattern Recognition · Computer Science 2020-03-31 Min Shi , Jia-Qi Zhang , Shu-Yu Chen , Lin Gao , Yu-Kun Lai , Fang-Lue Zhang
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