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We present Motion 3-to-4, a feed-forward framework for synthesising high-quality 4D dynamic objects from a single monocular video and an optional 3D reference mesh. While recent advances have significantly improved 2D, video, and 3D content…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Hongyuan Chen , Xingyu Chen , Youjia Zhang , Zexiang Xu , Anpei Chen

Fast and robust three-dimensional reconstruction of facial geometric structure from a single image is a challenging task with numerous applications. Here, we introduce a learning-based approach for reconstructing a three-dimensional face…

Computer Vision and Pattern Recognition · Computer Science 2016-09-27 Elad Richardson , Matan Sela , Ron Kimmel

Deep person generation has attracted extensive research attention due to its wide applications in virtual agents, video conferencing, online shopping and art/movie production. With the advancement of deep learning, visual appearances (face,…

Computer Vision and Pattern Recognition · Computer Science 2023-08-22 Tong Sha , Wei Zhang , Tong Shen , Zhoujun Li , Tao Mei

We present a minimalistic but effective neural network that computes dense facial correspondences in highly unconstrained RGB images. Our network learns a per-pixel flow and a matchability mask between 2D input photographs of a person and…

Computer Vision and Pattern Recognition · Computer Science 2017-09-05 Ronald Yu , Shunsuke Saito , Haoxiang Li , Duygu Ceylan , Hao Li

Deep facial expression recognition faces two challenges that both stem from the large number of trainable parameters: long training times and a lack of interpretability. We propose a novel method based on evolutionary algorithms, that deals…

Neural and Evolutionary Computing · Computer Science 2020-10-14 Emmanuel Dufourq , Bruce A. Bassett

Creating high-fidelity, animatable 3D talking heads is crucial for immersive applications, yet often hindered by the prevalence of low-quality image or video sources, which yield poor 3D reconstructions. In this paper, we introduce…

Computer Vision and Pattern Recognition · Computer Science 2026-02-09 Ding-Jiun Huang , Yuanhao Wang , Shao-Ji Yuan , Albert Mosella-Montoro , Francisco Vicente Carrasco , Cheng Zhang , Fernando De la Torre

Vivid talking face generation holds immense potential applications across diverse multimedia domains, such as film and game production. While existing methods accurately synchronize lip movements with input audio, they typically ignore…

Computer Vision and Pattern Recognition · Computer Science 2024-06-13 Jiadong Liang , Feng Lu

Most 3D face reconstruction methods rely on 3D morphable models, which disentangle the space of facial deformations into identity geometry, expressions and skin reflectance. These models are typically learned from a limited number of 3D…

Computer Vision and Pattern Recognition · Computer Science 2020-10-06 Mallikarjun B R , Ayush Tewari , Hans-Peter Seidel , Mohamed Elgharib , Christian Theobalt

Creating personalized 3D animations with precise control and realistic head motions remains challenging for current speech-driven 3D facial animation methods. Editing these animations is especially complex and time consuming, requires…

Graphics · Computer Science 2025-10-01 Balamurugan Thambiraja , Malte Prinzler , Sadegh Aliakbarian , Darren Cosker , Justus Thies

Traditional methods for image-based 3D face reconstruction and facial motion retargeting fit a 3D morphable model (3DMM) to the face, which has limited modeling capacity and fail to generalize well to in-the-wild data. Use of deformation…

Computer Vision and Pattern Recognition · Computer Science 2020-07-21 Bindita Chaudhuri , Noranart Vesdapunt , Linda Shapiro , Baoyuan Wang

While much progress has been made in capturing high-quality facial performances using motion capture markers and shape-from-shading, high-end systems typically also rely on rotoscope curves hand-drawn on the image. These curves are…

Computer Vision and Pattern Recognition · Computer Science 2018-12-10 Michael Bao , Jane Wu , Xinwei Yao , Ronald Fedkiw

3D facial animation has attracted considerable attention due to its extensive applications in the multimedia field. Audio-driven 3D facial animation has been widely explored with promising results. However, multi-modal 3D facial animation,…

Computer Vision and Pattern Recognition · Computer Science 2024-10-11 Sijing Wu , Yunhao Li , Yichao Yan , Huiyu Duan , Ziwei Liu , Guangtao Zhai

Speech-driven 3D facial animation has been widely explored, with applications in gaming, character animation, virtual reality, and telepresence systems. State-of-the-art methods deform the face topology of the target actor to sync the input…

Computer Vision and Pattern Recognition · Computer Science 2023-01-03 Balamurugan Thambiraja , Ikhsanul Habibie , Sadegh Aliakbarian , Darren Cosker , Christian Theobalt , Justus Thies

3D rendering of dynamic face captures is a challenging problem, and it demands improvements on several fronts$\unicode{x2014}$photorealism, efficiency, compatibility, and configurability. We present a novel representation that enables…

Computer Vision and Pattern Recognition · Computer Science 2024-04-23 Safa C. Medin , Gengyan Li , Ruofei Du , Stephan Garbin , Philip Davidson , Gregory W. Wornell , Thabo Beeler , Abhimitra Meka

Image view synthesis has seen great success in reconstructing photorealistic visuals, thanks to deep learning and various novel representations. The next key step in immersive virtual experiences is view synthesis of dynamic scenes.…

Computer Vision and Pattern Recognition · Computer Science 2022-11-29 Kai-En Lin , Guowei Yang , Lei Xiao , Feng Liu , Ravi Ramamoorthi

The recent research of facial expression recognition has made a lot of progress due to the development of deep learning technologies, but some typical challenging problems such as the variety of rich facial expressions and poses are still…

Computer Vision and Pattern Recognition · Computer Science 2019-07-26 Wenxuan Wang , Qiang Sun , Tao Chen , Chenjie Cao , Ziqi Zheng , Guoqiang Xu , Han Qiu , Yanwei Fu

In this paper, we introduce a novel deep learning method for photo-realistic manipulation of the emotional state of actors in "in-the-wild" videos. The proposed method is based on a parametric 3D face representation of the actor in the…

Computer Vision and Pattern Recognition · Computer Science 2022-03-31 Foivos Paraperas Papantoniou , Panagiotis P. Filntisis , Petros Maragos , Anastasios Roussos

Recent advances in 3D face stylization have made significant strides in few to zero-shot settings. However, the degree of stylization achieved by existing methods is often not sufficient for practical applications because they are mostly…

Computer Vision and Pattern Recognition · Computer Science 2024-03-25 Soyeon Yoon , Kwan Yun , Kwanggyoon Seo , Sihun Cha , Jung Eun Yoo , Junyong Noh

Readily editable mesh blendshapes have been widely used in animation pipelines, while recent advancements in neural geometry and appearance representations have enabled high-quality inverse rendering. Building upon these observations, we…

Graphics · Computer Science 2024-08-21 Xin Ming , Jiawei Li , Jingwang Ling , Libo Zhang , Feng Xu

Emotional expressions are the behaviors that communicate our emotional state or attitude to others. They are expressed through verbal and non-verbal communication. Complex human behavior can be understood by studying physical features from…

Computer Vision and Pattern Recognition · Computer Science 2021-09-15 Liam Schoneveld , Alice Othmani , Hazem Abdelkawy
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