Pose-controllable talking face generation by implicitly modularized audio-visual representation

H Zhou, Y Sun, W Wu, CC Loy… - Proceedings of the …, 2021 - openaccess.thecvf.com
While accurate lip synchronization has been achieved for arbitrary-subject audio-driven
talking face generation, the problem of how to efficiently drive the head pose remains …

[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 …

3d face recognition: Two decades of progress and prospects

Y Guo, H Wang, L Wang, Y Lei, L Liu… - ACM Computing …, 2023 - dl.acm.org
Three-dimensional (3D) face recognition has been extensively investigated in the last two
decades due to its wide range of applications in many areas, such as security and forensics …

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 …

Mofanerf: Morphable facial neural radiance field

Y Zhuang, H Zhu, X Sun, X Cao - European conference on computer vision, 2022 - Springer
We propose a parametric model that maps free-view images into a vector space of coded
facial shape, expression and appearance with a neural radiance field, namely Morphable …

Stylemeup: Towards style-agnostic sketch-based image retrieval

A Sain, AK Bhunia, Y Yang, T Xiang… - Proceedings of the …, 2021 - openaccess.thecvf.com
Sketch-based image retrieval (SBIR) is a cross-modal matching problem which is typically
solved by learning a joint embedding space where the semantic content shared between …

Ffhq-uv: Normalized facial uv-texture dataset for 3d face reconstruction

H Bai, D Kang, H Zhang, J Pan… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
We present a large-scale facial UV-texture dataset that contains over 50,000 high-quality
texture UV-maps with even illuminations, neutral expressions, and cleaned facial regions …

Learning a facial expression embedding disentangled from identity

W Zhang, X Ji, K Chen, Y Ding… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
The facial expression analysis requires a compact and identity-ignored expression
representation. In this paper, we model the expression as the deviation from the identity by a …

Portrait4D: Learning One-Shot 4D Head Avatar Synthesis using Synthetic Data

Y Deng, D Wang, X Ren, X Chen… - Proceedings of the …, 2024 - openaccess.thecvf.com
Existing one-shot 4D head synthesis methods usually learn from monocular videos with the
aid of 3DMM reconstruction yet the latter is evenly challenging which restricts them from …