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Related papers: Head Reconstruction from Internet Photos

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In recent decades, 3D morphable model (3DMM) has been commonly used in image-based photorealistic 3D face reconstruction. However, face images are often corrupted by serious occlusion by non-face objects including eyeglasses, masks, and…

Computer Vision and Pattern Recognition · Computer Science 2019-09-09 Xiaowei Yuan , In Kyu Park

Internet photo collections exhibit an extremely long-tailed distribution: a few famous landmarks are densely photographed and easily reconstructed in 3D, while most real-world sites are represented with sparse, noisy, uneven imagery beyond…

Computer Vision and Pattern Recognition · Computer Science 2026-04-27 Yuan Li , Yuanbo Xiangli , Hadar Averbuch-Elor , Noah Snavely , Ruojin Cai

We present FaceLift, a novel feed-forward approach for generalizable high-quality 360-degree 3D head reconstruction from a single image. Our pipeline first employs a multi-view latent diffusion model to generate consistent side and back…

Computer Vision and Pattern Recognition · Computer Science 2025-08-04 Weijie Lyu , Yi Zhou , Ming-Hsuan Yang , Zhixin Shu

Many modern online 3D applications and video games rely on parametric models of human faces for creating believable avatars. However, manually reproducing someone's facial likeness with a parametric model is difficult and time-consuming.…

Computer Vision and Pattern Recognition · Computer Science 2022-09-07 Igor Borovikov , Karine Levonyan , Jon Rein , Pawel Wrotek , Nitish Victor

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

While the problem of estimating shapes and diffuse reflectances of human faces from images has been extensively studied, there is relatively less work done on recovering the specular albedo. This paper presents a lightweight solution for…

Computer Vision and Pattern Recognition · Computer Science 2019-11-28 Guoxian Song , Jianmin Zheng , Jianfei Cai , Tat-Jen Cham

Monocular 3D clothed human reconstruction aims to create a complete 3D avatar from a single image. To tackle the human geometry lacking in one RGB image, current methods typically resort to a preceding model for an explicit geometric…

Computer Vision and Pattern Recognition · Computer Science 2025-06-17 Nanjie Yao , Gangjian Zhang , Wenhao Shen , Jian Shu , Hao Wang

3D reconstruction from a single view image is a long-standing prob-lem in computer vision. Various methods based on different shape representations(such as point cloud or volumetric representations) have been proposed. However,the 3D shape…

Graphics · Computer Science 2020-03-10 Aihua Mao , Canglan Dai , Lin Gao , Ying He , Yong-jin Liu

The reconstruction of images from measured data is an increasing field of research. For highly under-determined problems, template-based image reconstruction provides a way of compensating for the lack of sufficient data. A caveat of this…

Optimization and Control · Mathematics 2023-05-29 Sebastian Neumayer , Antonia Topalovic

We propose a method for synthesizing photo-realistic digital avatars from only one portrait as the reference. Given a portrait, our method synthesizes a coarse talking head video using driving keypoints features. And with the coarse video,…

Computer Vision and Pattern Recognition · Computer Science 2023-07-20 Shaoxu Li

In this paper, we present a method of clothes retargeting; generating the potential poses and deformations of a given 3D clothing template model to fit onto a person in a single RGB image. The problem is fundamentally ill-posed as attaining…

Computer Vision and Pattern Recognition · Computer Science 2021-02-02 Jae Shin Yoon , Kihwan Kim , Jan Kautz , Hyun Soo Park

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

We address the problem of recovering the 3D geometry of a human face from a set of facial images in multiple views. While recent studies have shown impressive progress in 3D Morphable Model (3DMM) based facial reconstruction, the settings…

Computer Vision and Pattern Recognition · Computer Science 2019-04-10 Fanzi Wu , Linchao Bao , Yajing Chen , Yonggen Ling , Yibing Song , Songnan Li , King Ngi Ngan , Wei Liu

A key goal of computer vision is to recover the underlying 3D structure from 2D observations of the world. In this paper we learn strong deep generative models of 3D structures, and recover these structures from 3D and 2D images via…

Computer Vision and Pattern Recognition · Computer Science 2018-06-20 Danilo Jimenez Rezende , S. M. Ali Eslami , Shakir Mohamed , Peter Battaglia , Max Jaderberg , Nicolas Heess

We present a new end-to-end learning framework to obtain detailed and spatially coherent reconstructions of multiple people from a single image. Existing multi-person methods suffer from two main drawbacks: they are often model-based and…

Computer Vision and Pattern Recognition · Computer Science 2021-04-20 Armin Mustafa , Akin Caliskan , Lourdes Agapito , Adrian Hilton

Lossy image compression has been studied extensively in the context of typical loss functions such as RMSE, MS-SSIM, etc. However, compression at low bitrates generally produces unsatisfying results. Furthermore, the availability of massive…

Image and Video Processing · Electrical Eng. & Systems 2019-06-26 Ashutosh Bhown , Soham Mukherjee , Sean Yang , Shubham Chandak , Irena Fischer-Hwang , Kedar Tatwawadi , Judith Fan , Tsachy Weissman

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

In this paper, we propose a method for improving the angular accuracy and photo-reality of gaze and head redirection in full-face images. The problem with current models is that they cannot handle redirection at large angles, and this…

Computer Vision and Pattern Recognition · Computer Science 2023-09-12 Jiawei Qin , Xueting Wang

This paper presents a novel method for reconstructing 3D garment models from a single image of a posed user. Previous studies that have primarily focused on accurately reconstructing garment geometries to match the input garment image may…

Computer Vision and Pattern Recognition · Computer Science 2023-12-29 Seungchan Lim , Sumin Kim , Sung-Hee Lee

There has been great progress in human 3D mesh recovery and great interest in learning about the world from consumer video data. Unfortunately current methods for 3D human mesh recovery work rather poorly on consumer video data, since on…

Computer Vision and Pattern Recognition · Computer Science 2020-08-14 Chris Rockwell , David F. Fouhey