[HTML][HTML] Survey on 3D face reconstruction from uncalibrated images

A Morales, G Piella, FM Sukno - Computer Science Review, 2021 - Elsevier
Recently, a lot of attention has been focused on the incorporation of 3D data into face
analysis and its applications. Despite providing a more accurate representation of the face …

[HTML][HTML] Talking human face generation: A survey

M Toshpulatov, W Lee, S Lee - Expert Systems with Applications, 2023 - Elsevier
Talking human face generation aims at synthesizing a natural human face that talks in
correspondence to the given text or audio series. Implementing the recently developed …

Facescape: a large-scale high quality 3d face dataset and detailed riggable 3d face prediction

H Yang, H Zhu, Y Wang, M Huang… - Proceedings of the …, 2020 - openaccess.thecvf.com
In this paper, we present a large-scale detailed 3D face dataset, FaceScape, and propose a
novel algorithm that is able to predict elaborate riggable 3D face models from a single image …

Faceverse: a fine-grained and detail-controllable 3d face morphable model from a hybrid dataset

L Wang, Z Chen, T Yu, C Ma, L Li… - Proceedings of the …, 2022 - openaccess.thecvf.com
We present FaceVerse, a fine-grained 3D Neural Face Model, which is built from hybrid East
Asian face datasets containing 60K fused RGB-D images and 2K high-fidelity 3D head scan …

Ganfit: Generative adversarial network fitting for high fidelity 3d face reconstruction

B Gecer, S Ploumpis, I Kotsia… - Proceedings of the …, 2019 - openaccess.thecvf.com
In the past few years, a lot of work has been done towards reconstructing the 3D facial
structure from single images by capitalizing on the power of Deep Convolutional Neural …

Learning to regress 3D face shape and expression from an image without 3D supervision

S Sanyal, T Bolkart, H Feng… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
The estimation of 3D face shape from a single image must be robust to variations in lighting,
head pose, expression, facial hair, makeup, and occlusions. Robustness requires a large …

i3dmm: Deep implicit 3d morphable model of human heads

T Yenamandra, A Tewari, F Bernard… - Proceedings of the …, 2021 - openaccess.thecvf.com
We present the first deep implicit 3D morphable model (i3DMM) of full heads. Unlike earlier
morphable face models it not only captures identity-specific geometry, texture, and …

3d morphable face models—past, present, and future

B Egger, WAP Smith, A Tewari, S Wuhrer… - ACM Transactions on …, 2020 - dl.acm.org
In this article, we provide a detailed survey of 3D Morphable Face Models over the 20 years
since they were first proposed. The challenges in building and applying these models …

Relightify: Relightable 3d faces from a single image via diffusion models

FP Papantoniou, A Lattas… - Proceedings of the …, 2023 - openaccess.thecvf.com
Following the remarkable success of diffusion models on image generation, recent works
have also demonstrated their impressive ability to address a number of inverse problems in …

Instant multi-view head capture through learnable registration

T Bolkart, T Li, MJ Black - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
Existing methods for capturing datasets of 3D heads in dense semantic correspondence are
slow and commonly address the problem in two separate steps; multi-view stereo (MVS) …