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Production-level workflows for producing convincing 3D dynamic human faces have long relied on an assortment of labor-intensive tools for geometry and texture generation, motion capture and rigging, and expression synthesis. Recent neural…

Computer Vision and Pattern Recognition · Computer Science 2022-09-19 Longwen Zhang , Chuxiao Zeng , Qixuan Zhang , Hongyang Lin , Ruixiang Cao , Wei Yang , Lan Xu , Jingyi Yu

Face attribute editing aims to generate faces with one or multiple desired face attributes manipulated while other details are preserved. Unlike prior works such as GAN inversion, which has an expensive reverse mapping process, we propose a…

Computer Vision and Pattern Recognition · Computer Science 2021-02-24 Zhiliang Xu , Xiyu Yu , Zhibin Hong , Zhen Zhu , Junyu Han , Jingtuo Liu , Errui Ding , Xiang Bai

Existing 3D-aware facial generation methods face a dilemma in quality versus editability: they either generate editable results in low resolution or high-quality ones with no editing flexibility. In this work, we propose a new approach that…

Computer Vision and Pattern Recognition · Computer Science 2022-06-01 Jingxiang Sun , Xuan Wang , Yichun Shi , Lizhen Wang , Jue Wang , Yebin Liu

Current Neural Radiance Fields (NeRF) can generate photorealistic novel views. For editing 3D scenes represented by NeRF, with the advent of generative models, this paper proposes Inpaint4DNeRF to capitalize on state-of-the-art stable…

Computer Vision and Pattern Recognition · Computer Science 2024-01-02 Han Jiang , Haosen Sun , Ruoxuan Li , Chi-Keung Tang , Yu-Wing Tai

In this paper, we present an integrated system for automatically generating and editing face images through face swapping, attribute-based editing, and random face parts synthesis. The proposed system is based on a deep neural network that…

Computer Vision and Pattern Recognition · Computer Science 2022-07-07 Ryota Natsume , Tatsuya Yatagawa , Shigeo Morishima

Facial video inpainting plays a crucial role in a wide range of applications, including but not limited to the removal of obstructions in video conferencing and telemedicine, enhancement of facial expression analysis, privacy protection,…

Computer Vision and Pattern Recognition · Computer Science 2024-07-12 Fatemeh Ghorbani Lohesara , Karen Egiazarian , Sebastian Knorr

We present a method for fine-grained face manipulation. Given a face image with an arbitrary expression, our method can synthesize another arbitrary expression by the same person. This is achieved by first fitting a 3D face model and then…

Computer Vision and Pattern Recognition · Computer Science 2019-02-26 Zhenglin Geng , Chen Cao , Sergey Tulyakov

In recent advances of deep generative models, face reenactment -manipulating and controlling human face, including their head movement-has drawn much attention for its wide range of applicability. Despite its strong expressiveness, it is…

Computer Vision and Pattern Recognition · Computer Science 2022-02-23 Takuya Yashima , Takuya Narihira , Tamaki Kojima

Animation elevates digital documents into immersive experiences, yet creating custom motion paths remains cumbersome, requiring designers to manually select presets, plot B\'ezier points, and configure timing properties. We introduce…

Computer Vision and Pattern Recognition · Computer Science 2026-05-27 Mannat Khurana , Sanyam Jain , Rishav Agarwal

Identity preserving editing of faces is a generative task that enables modifying the illumination, adding/removing eyeglasses, face aging, editing hairstyles, modifying expression etc., while preserving the identity of the face. Recent…

Computer Vision and Pattern Recognition · Computer Science 2025-10-22 Vishal Vinod

Generative AI (GenAI) is transforming filmmaking, equipping artists with tools like text-to-image and image-to-video diffusion, neural radiance fields, avatar generation, and 3D synthesis. This paper examines the adoption of these…

Facial 3D Morphable Models are a main computer vision subject with countless applications and have been highly optimized in the last two decades. The tremendous improvements of deep generative networks have created various possibilities for…

Computer Vision and Pattern Recognition · Computer Science 2022-09-16 Stathis Galanakis , Baris Gecer , Alexandros Lattas , Stefanos Zafeiriou

We propose an end-to-end deep-learning approach for automatic rigging and retargeting of 3D models of human faces in the wild. Our approach, called Neural Face Rigging (NFR), holds three key properties: (i) NFR's expression space maintains…

Graphics · Computer Science 2023-05-16 Dafei Qin , Jun Saito , Noam Aigerman , Thibault Groueix , Taku Komura

Although significant progress has been made in synthesizing high-quality and visually realistic face images by unconditional Generative Adversarial Networks (GANs), there still lacks of control over the generation process in order to…

Computer Vision and Pattern Recognition · Computer Science 2020-12-23 Xianxu Hou , Xiaokang Zhang , Linlin Shen , Zhihui Lai , Jun Wan

Recent deep image-to-image translation techniques allow fast generation of face images from freehand sketches. However, existing solutions tend to overfit to sketches, thus requiring professional sketches or even edge maps as input. To…

Graphics · Computer Science 2020-06-09 Shu-Yu Chen , Wanchao Su , Lin Gao , Shihong Xia , Hongbo Fu

We present a versatile model, FaceAnime, for various video generation tasks from still images. Video generation from a single face image is an interesting problem and usually tackled by utilizing Generative Adversarial Networks (GANs) to…

Computer Vision and Pattern Recognition · Computer Science 2021-06-01 Xiaoguang Tu , Yingtian Zou , Jian Zhao , Wenjie Ai , Jian Dong , Yuan Yao , Zhikang Wang , Guodong Guo , Zhifeng Li , Wei Liu , Jiashi Feng

Traditional 3D content creation tools empower users to bring their imagination to life by giving them direct control over a scene's geometry, appearance, motion, and camera path. Creating computer-generated videos, however, is a tedious…

Computer Vision and Pattern Recognition · Computer Science 2023-12-05 Shengqu Cai , Duygu Ceylan , Matheus Gadelha , Chun-Hao Paul Huang , Tuanfeng Yang Wang , Gordon Wetzstein

Efficient rendering of photo-realistic virtual worlds is a long standing effort of computer graphics. Modern graphics techniques have succeeded in synthesizing photo-realistic images from hand-crafted scene representations. However, the…

This paper proposes a video editor based on OpenShot with several state-of-the-art facial video editing algorithms as added functionalities. Our editor provides an easy-to-use interface to apply modern lip-syncing algorithms interactively.…

Computer Vision and Pattern Recognition · Computer Science 2021-10-19 Anchit Gupta , Faizan Farooq Khan , Rudrabha Mukhopadhyay , Vinay P. Namboodiri , C. V. Jawahar

Design tools in the 3D industry, while powerful, are still tedious and labor-intensive when it comes to bringing a creative idea for a visual effect to life. In this position paper, we discussed how an infamous generative synthetic media,…

Human-Computer Interaction · Computer Science 2022-04-28 Julius Girbig , Changkun Ou , Sylvia Rothe