Fetching the paper…
Reading the bibliography…
Despite the significant progress in recent years, very few of the AI-based talking face generation methods attempt to render natural emotions.
Bulletin de l’académie des sciences de l’urss
Boris Delaunay, S Vide, A Lamémoire, and V De Georges · 1934
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
Earlier work this paper cites.
A kernel method for the two-sample-problem
Arthur Gretton, Karsten Borgwardt, Malte Rasch, Bernhard Schölkopf, and Alex J Smola · 2007
Earlier work this paper cites.
A no-reference perceptual image sharpness metric based on a cumulative probability of blur detection
Niranjan D Narvekar and Lina J Karam · 2009
Earlier work this paper cites.
Crema-d: Crowd-sourced emotional multimodal actors dataset
Houwei Cao, David G Cooper, Michael K Keutmann, Ruben C Gur, Ani Nenkova, and Ragini Verma · 2014
Earlier work this paper cites.
Deep speech: Scaling up end-to-end speech recognition
Awni Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates, et al · 2014
Earlier work this paper cites.
Out of time: automated lip sync in the wild
J. S. Chung and A. Zisserman · 2016
Earlier work this paper cites.
Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling · 2016
Earlier work this paper cites.
Joon Son Chung, Amir Jamaludin, and Andrew Zisserman · 2017
Earlier work this paper cites.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
Earlier work this paper cites.
Arbitrary style transfer in real-time with adaptive instance normalization
Xun Huang and Serge Belongie · 2017
Earlier work this paper cites.
Least squares generative adversarial networks
Xudong Mao, Qing Li, Haoran Xie, Raymond YK Lau, Zhen Wang, and Stephen Paul Smolley · 2017
Earlier work this paper cites.
Synthesizing obama: learning lip sync from audio
Supasorn Suwajanakorn, Steven M Seitz, and Ira Kemelmacher-Shlizerman · 2017
Earlier work this paper cites.
Voxceleb2: Deep speaker recognition
Joon Son Chung, Arsha Nagrani, and Andrew Zisserman · 2018
Cited alongside, same era.
The ryerson audio-visual database of emotional speech and song (ravdess): A dynamic, multimodal set of facial and vocal expressions in north american english
Steven R Livingstone and Frank A Russo · 2018
Cited alongside, same era.
Spatial temporal graph convolutional networks for skeleton-based action recognition
Sijie Yan, Yuanjun Xiong, and Dahua Lin · 2018
Cited alongside, same era.
Bisenet: Bilateral segmentation network for real-time semantic segmentation
Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, and Nong Sang · 2018
Cited alongside, same era.
Exploiting spatial-temporal relationships for 3d pose estimation via graph convolutional networks
Yujun Cai, Liuhao Ge, Jun Liu, Jianfei Cai, Tat-Jen Cham, Junsong Yuan, and Nadia Magnenat Thalmann · 2019
Speech driven talking face generation from a single image and an emotion condition
Sefik Emre Eskimez, You Zhang, and Zhiyao Duan · 2020
Later among the works it cites.
Towards fast, accurate and stable 3d dense face alignment
Jianzhu Guo, Xiangyu Zhu, Yang Yang, Fan Yang, Zhen Lei, and Stan Z Li · 2020
Later among the works it cites.
A lip sync expert is all you need for speech to lip generation in the wild
KR Prajwal, Rudrabha Mukhopadhyay, Vinay P Namboodiri, and CV Jawahar · 2020
Later among the works it cites.
Identity-preserving realistic talking face generation
Sanjana Sinha, Sandika Biswas, and Brojeshwar Bhowmick · 2020
Later among the works it cites.
Everybody’s talkin’: Let me talk as you want
Linsen Song, Wayne Wu, Chen Qian, Ran He, and Chen Change Loy · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Hierarchical cross-modal talking face generation with dynamic pixel-wise loss
Lele Chen, Ross K Maddox, Zhiyao Duan, and Chenliang Xu · 2019
Cited alongside, same era.
Arcface: Additive angular margin loss for deep face recognition
Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou · 2019
Cited alongside, same era.
Neural voice puppetry: Audio-driven facial reenactment
Justus Thies, Mohamed Elgharib, Ayush Tewari, Christian Theobalt, and Matthias Nießner · 2019
Cited alongside, same era.
Realistic speech-driven facial animation with gans
Konstantinos Vougioukas, Stavros Petridis, and Maja Pantic · 2019
Cited alongside, same era.
Talking face generation by adversarially disentangled audio-visual representation
Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, and Xiaogang Wang · 2019
Cited alongside, same era.
Talking-head generation with rhythmic head motion
Lele Chen, Guofeng Cui, Celong Liu, Zhong Li, Ziyi Kou, Yi Xu, and Chenliang Xu · 2020
Cited alongside, same era.
Speech-driven facial animation using cascaded gans for learning of motion and texture
Dipanjan Das, Sandika Biswas, Sanjana Sinha, and Brojeshwar Bhowmick · 2020
Cited alongside, same era.
Mead: A large-scale audio-visual dataset for emotional talking-face generation
Kaisiyuan Wang, Qianyi Wu, Linsen Song, Zhuoqian Yang, Wayne Wu, Chen Qian, Ran He, Yu Qiao, and Chen Change Loy · 2020
Later among the works it cites.
Photorealistic audio-driven video portraits
Xin Wen, Miao Wang, Christian Richardt, Ze-Yin Chen, and Shi-Min Hu · 2020
Later among the works it cites.
Makelttalk: speaker-aware talking-head animation
Yang Zhou, Xintong Han, Eli Shechtman, Jose Echevarria, Evangelos Kalogerakis, and Dingzeyu Li · 2020
Later among the works it cites.
Audio-driven emotional video portraits
Xinya Ji, Hang Zhou, Kaisiyuan Wang, Wayne Wu, Chen Change Loy, Xun Cao, and Feng Xu · 2021
Later among the works it cites.
Audio2head: Audio-driven one-shot talking-head generation with natural head motion
Suzhen Wang, Lincheng Li, Yu Ding, Changjie Fan, and Xin Yu · 2021
Later among the works it cites.
Flow-guided one-shot talking face generation with a high-resolution audio-visual dataset
Zhimeng Zhang, Lincheng Li, Yu Ding, and Changjie Fan · 2021
Later among the works it cites.
Pose-controllable talking face generation by implicitly modularized audio-visual representation
Hang Zhou, Yasheng Sun, Wayne Wu, Chen Change Loy, Xiaogang Wang, and Ziwei Liu · 2021
Later among the works it cites.