Cyril Diagne's starred repositories
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
magic-animate
[CVPR 2024] MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
AniPortrait
AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation
parler-tts
Inference and training library for high-quality TTS models.
auto-code-rover
A project structure aware autonomous software engineer aiming for autonomous program improvement. Resolved 15.95% tasks in full SWE-bench
naturalspeech2-pytorch
Implementation of Natural Speech 2, Zero-shot Speech and Singing Synthesizer, in Pytorch
InstantStyle
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation 🔥
4D-Facial-Avatars
Dynamic Neural Radiance Fields for Monocular 4D Facial Avater Reconstruction
emoca
Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA sets the new standard on reconstructing highly emotional images in-the-wild
swift-transformers
Swift Package to implement a transformers-like API in Swift
diffused-heads
Official repository for Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation
StyleAvatar
Code of SIGGRAPH 2023 Conference paper: StyleAvatar: Real-time Photo-realistic Portrait Avatar from a Single Video
lumiere-pytorch
Implementation of Lumiere, SOTA text-to-video generation from Google Deepmind, in Pytorch
HairFastGAN
Official Implementation for "HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach"
CLIP2StyleGAN
CLIP2StyleGAN: Unsupervised Extraction of StyleGAN Edit Directions (SIGGRAPH 2022)
GeneAvatar
Code for "GeneAvatar: Generic Expression-Aware Volumetric Head Avatar Editing from a Single Image", CVPR 2024
readout_guidance
Official PyTorch Implementation for Readout Guidance, CVPR 2024
dynode_released
This is a simple demo for "Modeling GAN Latent Dynamics using Neural ODEs".