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Related papers: Exploring 3D-aware Lifespan Face Aging via Disenta…

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We propose a framework, called LiftedGAN, that disentangles and lifts a pre-trained StyleGAN2 for 3D-aware face generation. Our model is "3D-aware" in the sense that it is able to (1) disentangle the latent space of StyleGAN2 into texture,…

Computer Vision and Pattern Recognition · Computer Science 2021-04-20 Yichun Shi , Divyansh Aggarwal , Anil K. Jain

We propose ID-to-3D, a method to generate identity- and text-guided 3D human heads with disentangled expressions, starting from even a single casually captured in-the-wild image of a subject. The foundation of our approach is anchored in…

Computer Vision and Pattern Recognition · Computer Science 2024-05-29 Francesca Babiloni , Alexandros Lattas , Jiankang Deng , Stefanos Zafeiriou

We present a 3D-aware one-shot head reenactment method based on a fully volumetric neural disentanglement framework for source appearance and driver expressions. Our method is real-time and produces high-fidelity and view-consistent output,…

Computer Vision and Pattern Recognition · Computer Science 2023-12-11 Phong Tran , Egor Zakharov , Long-Nhat Ho , Anh Tuan Tran , Liwen Hu , Hao Li

Generative modeling of 3D shapes has become an important problem due to its relevance to many applications across Computer Vision, Graphics, and VR. In this paper we build upon recently introduced 3D mesh-convolutional Variational…

Machine Learning · Computer Science 2019-06-11 Jake Levinson , Avneesh Sud , Ameesh Makadia

Learning a disentangled, interpretable, and structured latent representation in 3D generative models of faces and bodies is still an open problem. The problem is particularly acute when control over identity features is required. In this…

Computer Vision and Pattern Recognition · Computer Science 2022-03-25 Simone Foti , Bongjin Koo , Danail Stoyanov , Matthew J. Clarkson

Speech-driven 3D face animation aims to generate realistic facial expressions that match the speech content and emotion. However, existing methods often neglect emotional facial expressions or fail to disentangle them from speech content.…

Computer Vision and Pattern Recognition · Computer Science 2023-08-28 Ziqiao Peng , Haoyu Wu , Zhenbo Song , Hao Xu , Xiangyu Zhu , Jun He , Hongyan Liu , Zhaoxin Fan

Over the past few years, single-view 3D face reconstruction methods can produce beautiful 3D models. Nevertheless,the input of these works is unobstructed faces.We describe a system designed to reconstruct convincing face texture in the…

Computer Vision and Pattern Recognition · Computer Science 2024-12-30 Dapeng Zhao , Yue Qi

Meaningful facial parts can convey key cues for both facial action unit detection and expression prediction. Textured 3D face scan can provide both detailed 3D geometric shape and 2D texture appearance cues of the face which are beneficial…

Computer Vision and Pattern Recognition · Computer Science 2018-03-16 Asim Jan , Huaxiong Ding , Hongying Meng , Liming Chen , Huibin Li

Face is one of the most important things for communication with the world around us. It also forms our identity and expressions. Estimating the face structure is a fundamental task in computer vision with applications in different areas…

Computer Vision and Pattern Recognition · Computer Science 2019-10-07 Kimia Dinashi , Ramin Toosi , Mohammad Ali Akhaee

D shape generation is a fundamental operation in computer graphics. While significant progress has been made, especially with recent deep generative models, it remains a challenge to synthesize high-quality shapes with rich geometric…

Graphics · Computer Science 2022-05-31 Jie Yang , Kaichun Mo , Yu-Kun Lai , Leonidas J. Guibas , Lin Gao

As a classic statistical model of 3D facial shape and texture, 3D Morphable Model (3DMM) is widely used in facial analysis, e.g., model fitting, image synthesis. Conventional 3DMM is learned from a set of well-controlled 2D face images with…

Computer Vision and Pattern Recognition · Computer Science 2018-08-28 Luan Tran , Xiaoming Liu

Recent methods for synthesizing 3D-aware face images have achieved rapid development thanks to neural radiance fields, allowing for high quality and fast inference speed. However, existing solutions for editing facial geometry and…

Graphics · Computer Science 2022-11-16 Kaiwen Jiang , Shu-Yu Chen , Feng-Lin Liu , Hongbo Fu , Lin Gao

Facial Expression Recognition (FER) has consistently been a focal point in the field of facial analysis. In the context of existing methodologies for 3D FER or 2D+3D FER, the extraction of expression features often gets entangled with…

Computer Vision and Pattern Recognition · Computer Science 2024-03-14 Hebeizi Li , Hongyu Yang , Di Huang

Cascaded regression has been recently applied to reconstructing 3D faces from single 2D images directly in shape space, and achieved state-of-the-art performance. This paper investigates thoroughly such cascaded regression based 3D face…

Computer Vision and Pattern Recognition · Computer Science 2017-04-19 Feng Liu , Dan Zeng , Jing Li , Qijun Zhao

Recent advancements in deep learning for 3D models have propelled breakthroughs in generation, detection, and scene understanding. However, the effectiveness of these algorithms hinges on large training datasets. We address the challenge by…

Computer Vision and Pattern Recognition · Computer Science 2024-05-16 Mingxiang Chen , Jian Zhang , Boli Zhou , Yang Song

Multimodal editing large models have demonstrated powerful editing capabilities across diverse tasks. However, a persistent and long-standing limitation is the decline in facial identity (ID) consistency during realistic portrait editing.…

Computer Vision and Pattern Recognition · Computer Science 2026-02-24 Yuran Dong , Hang Dai , Mang Ye

Despite the remarkable progress in face recognition related technologies, reliably recognizing faces across ages still remains a big challenge. The appearance of a human face changes substantially over time, resulting in significant…

Computer Vision and Pattern Recognition · Computer Science 2018-10-05 Jian Zhao , Yu Cheng , Yi Cheng , Yang Yang , Haochong Lan , Fang Zhao , Lin Xiong , Yan Xu , Jianshu Li , Sugiri Pranata , Shengmei Shen , Junliang Xing , Hengzhu Liu , Shuicheng Yan , Jiashi Feng

The ability to accurately recognize an individual's face with respect to human aging factor holds significant importance for various private as well as government sectors such as customs and public security bureaus, passport office, and…

Computer Vision and Pattern Recognition · Computer Science 2024-10-23 Wang Yao , Muhammad Ali Farooq , Joseph Lemley , Peter Corcoran

Existing single view, 3D face reconstruction methods can produce beautifully detailed 3D results, but typically only for near frontal, unobstructed viewpoints. We describe a system designed to provide detailed 3D reconstructions of faces…

Computer Vision and Pattern Recognition · Computer Science 2018-04-02 Anh Tuan Tran , Tal Hassner , Iacopo Masi , Eran Paz , Yuval Nirkin , Gerard Medioni

3D-aware portrait editing has a wide range of applications in multiple fields. However, current approaches are limited due that they can only perform mask-guided or text-based editing. Even by fusing the two procedures into a model, the…

Computer Vision and Pattern Recognition · Computer Science 2024-07-08 Kangneng Zhou , Daiheng Gao , Xuan Wang , Jie Zhang , Peng Zhang , Xusen Sun , Longhao Zhang , Shiqi Yang , Bang Zhang , Liefeng Bo , Yaxing Wang , Ming-Ming Cheng