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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

Occlusions are very common in face images in the wild, leading to the degraded performance of face-related tasks. Although much effort has been devoted to removing occlusions from face images, the varying shapes and textures of occlusions…

Computer Vision and Pattern Recognition · Computer Science 2021-12-16 Xiangnan Yin , Di Huang , Zehua Fu , Yunhong Wang , Liming Chen

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 face reconstruction technology aims to generate a face stereo model naturally and realistically. Previous deep face reconstruction approaches are typically designed to generate convincing textures and cannot generalize well to multiple…

Computer Vision and Pattern Recognition · Computer Science 2024-12-31 Dapeng Zhao , Yue Qi

Recently, deep learning-based 3D face reconstruction methods have demonstrated promising advancements in terms of quality and efficiency. Nevertheless, these techniques face challenges in effectively handling occluded scenes and fail to…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Dapeng Zhao

Reconstructing 3D face models from a single image is an inherently ill-posed problem, which becomes even more challenging in the presence of occlusions. In addition to fewer available observations, occlusions introduce an extra source of…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Pratheba Selvaraju , Victoria Fernandez Abrevaya , Timo Bolkart , Rick Akkerman , Tianyu Ding , Faezeh Amjadi , Ilya Zharkov

Recently, deep learning-based 3D face reconstruction methods have demonstrated promising advancements in terms of quality and efficiency. Nevertheless, these techniques face challenges in effectively handling occluded scenes and fail to…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Dapeng Zhao

Single-view 3D shape retrieval is a challenging task that is increasingly important with the growth of available 3D data. Prior work that has studied this task has not focused on evaluating how realistic occlusions impact performance, and…

Computer Vision and Pattern Recognition · Computer Science 2024-01-02 Qirui Wu , Daniel Ritchie , Manolis Savva , Angel X. Chang

Generative reconstruction methods compute the 3D configuration (such as pose and/or geometry) of a shape by optimizing the overlap of the projected 3D shape model with images. Proper handling of occlusions is a big challenge, since the…

Computer Vision and Pattern Recognition · Computer Science 2016-02-12 Helge Rhodin , Nadia Robertini , Christian Richardt , Hans-Peter Seidel , Christian Theobalt

With the increasing demands of applications in virtual reality such as 3D films, virtual Human-Machine Interactions and virtual agents, the analysis of 3D human face analysis is considered to be more and more important as a fundamental step…

Computer Vision and Pattern Recognition · Computer Science 2017-04-25 Shu Zhang , Hui Yu , Ting Wang , Junyu Dong , Honghai Liu

Reconstructing 3D objects from a single image remains challenging, especially under real-world occlusions. While recent diffusion-based view synthesis models can generate consistent novel views from a single RGB image, they typically assume…

Computer Vision and Pattern Recognition · Computer Science 2025-07-01 Yansong Qu , Shaohui Dai , Xinyang Li , Yuze Wang , You Shen , Liujuan Cao , Rongrong Ji

Recently, deep learning based 3D face reconstruction methods have shown promising results in both quality and efficiency.However, training deep neural networks typically requires a large volume of data, whereas face images with ground-truth…

Computer Vision and Pattern Recognition · Computer Science 2020-04-10 Yu Deng , Jiaolong Yang , Sicheng Xu , Dong Chen , Yunde Jia , Xin Tong

3D face reconstruction from a single image is a challenging problem, especially under partial occlusions and extreme poses. This is because the uncertainty of the estimated 2D landmarks will affect the quality of face reconstruction. In…

Computer Vision and Pattern Recognition · Computer Science 2020-09-15 Kun Li , Jing Yang , Nianhong Jiao , Jinsong Zhang , Yu-Kun Lai

The three-dimensional reconstruction of scenes from multiple views has made impressive strides in recent years, chiefly by methods correlating isolated feature points, intensities, or curvilinear structure. In the general setting, i.e.,…

Computer Vision and Pattern Recognition · Computer Science 2017-07-14 Anil Usumezbas , Ricardo Fabbri , Benjamin Kimia

Reconstructing clothed humans from a single image is a fundamental task in computer vision with wide-ranging applications. Although existing monocular clothed human reconstruction solutions have shown promising results, they often rely on…

Computer Vision and Pattern Recognition · Computer Science 2025-10-20 Arindam Dutta , Meng Zheng , Zhongpai Gao , Benjamin Planche , Anwesha Choudhuri , Terrence Chen , Amit K. Roy-Chowdhury , Ziyan Wu

In this work, we introduce a novel high-fidelity 3D head reconstruction method from a single portrait image, regardless of perspective, expression, or accessories. Despite significant efforts in adapting 2D generative models for novel view…

Computer Vision and Pattern Recognition · Computer Science 2026-01-16 Jianfu Zhang , Yujie Gao , Jiahui Zhan , Wentao Wang , Yiyi Zhang , Haohua Zhao , Liqing Zhang

3D face reconstruction from a single image is a classical and challenging problem, with wide applications in many areas. Inspired by recent works in face animation from RGB-D or monocular video inputs, we develop a novel method for…

Computer Vision and Pattern Recognition · Computer Science 2018-08-01 Luo Jiang , Juyong Zhang , Bailin Deng , Hao Li , Ligang Liu

We introduce multi-slice reasoning, a new notion for single-view 3D reconstruction which challenges the current and prevailing belief that multi-view synthesis is the most natural conduit between single-view and 3D. Our key observation is…

Computer Vision and Pattern Recognition · Computer Science 2023-12-13 Yizhi Wang , Wallace Lira , Wenqi Wang , Ali Mahdavi-Amiri , Hao Zhang

3D face reconstruction plays a very important role in many real-world multimedia applications, including digital entertainment, social media, affection analysis, and person identification. The de-facto pipeline for estimating the parametric…

Computer Vision and Pattern Recognition · Computer Science 2021-01-07 Jialiang Zhang , Lixiang Lin , Jianke Zhu , Steven C. H. Hoi

Recent monocular 3D shape reconstruction methods have shown promising zero-shot results on object-segmented images without any occlusions. However, their effectiveness is significantly compromised in real-world conditions, due to imperfect…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Junhyeong Cho , Kim Youwang , Hunmin Yang , Tae-Hyun Oh
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