Code repo for NTUA DSML MSc thesis
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Updated
Dec 26, 2023 - Python
Code repo for NTUA DSML MSc thesis
Landmark driven talking head generatio using an img2img diffusion model
DoyenTalker uses deep learning techniques to generate personalized avatar videos that speak user-provided text in a specified voice. The system utilizes Coqui TTS for text-to-speech generation, along with various face rendering and animation techniques to create a video where the given avatar articulates the speech.
PyTorch implementation of NEUTART, a system that creates photorealistic talking avatars from an input text transcription.
[ECCV 2022] Motion Transformer for Unsupervised Image Animation
A 28× Compressed Wav2Lip for Efficient Talking Face Generation [ICCV'23 Demo] [MLSys'23 Workshop] [NVIDIA GTC'23]
[WACV 2024] "CVTHead: One-shot Controllable Head Avatar with Vertex-feature Transformer"
Cloned repository from Hugging Face Spaces (CVPR 2022 Demo)
The official code of our ICCV2023 work: Implicit Identity Representation Conditioned Memory Compensation Network for Talking Head video Generation
Pytorch official implementation for our paper "HyperLips: Hyper Control Lips with High Resolution Decoder for Talking Face Generation".
PyTorch Implementation for Paper "Emotionally Enhanced Talking Face Generation" (ICCVW'23 and ACM-MMW'23)
[ECCV 2024 Oral] EDTalk - Official PyTorch Implementation
CVPR2023 talking face implementation for Identity-Preserving Talking Face Generation With Landmark and Appearance Priors
ICASSP 2022: "Text2Video: text-driven talking-head video synthesis with phonetic dictionary".
Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesis; ICLR 2024 Spotlight; Official code
[CVPR 2024] This is the official source for our paper "SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis"
Wav2Lip UHQ extension for Automatic1111
GeneFace++: Generalized and Stable Real-Time 3D Talking Face Generation; Official Code
GeneFace: Generalized and High-Fidelity 3D Talking Face Synthesis; ICLR 2023; Official code
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