LorenzoGianassi / Land-DiffuserLinks
The Land-Diffuser is a novel application of the Denoising Diffusion Probabilistic Model (DDPM) in the realm of 3D Talking Head generation from raw audio inputs.
☆13Updated last year
Alternatives and similar repositories for Land-Diffuser
Users that are interested in Land-Diffuser are comparing it to the libraries listed below
Sorting:
- ☆15Updated last month
- [ICIAP 2023] Learning Landmarks Motion from Speech for Speaker-Agnostic 3D Talking Heads Generation☆62Updated last year
- Official repository for Polarity Sampling, CVPR 2022 ORAL☆13Updated 2 years ago
- Face Parsing via SegNeXt, trained on CelebAMask-HQ☆14Updated last year
- [CVPR 2023] Official PyTorch implementation of MoStGAN-V☆24Updated last year
- Official Access to ICIP2024 "THQA: A Perceptual Quality Assessment Database for Talking Heads"☆31Updated this week
- ☆21Updated 5 months ago
- Talking head animation☆27Updated last year
- [ECCV 2024] Official code repository of paper titled "Efficient 3D-Aware Facial Image Editing Via Attribute-Specific Prompt Learning"☆10Updated 10 months ago
- Official Code for "Intelligent Painter: Picture Composition With Resampling Diffusion Model" (ICIP 2023)☆16Updated last year
- ☆32Updated 2 years ago
- ☆21Updated 3 weeks ago
- [AAAI 2024] stle2talker - Official PyTorch Implementation☆43Updated last year
- ☆16Updated 9 months ago
- Adaptive Nonlinear Latent Transformation for Conditional Face Editing (ICCV 2023)☆37Updated last year
- ☆13Updated last year
- ☆18Updated 2 years ago
- ☆20Updated 8 months ago
- Pytorch implementation of Temporally Consistent Face Reenactment with 3D Geometric Guidance☆19Updated 3 weeks ago
- Code repository for the BMVC 2022 paper: Geometry Driven Progressive Warping for One Shot Face Animation☆12Updated 2 years ago
- NeurIPS 2022☆38Updated 2 years ago
- [TMM 2022] ISF-GAN.☆18Updated 5 months ago
- ☆29Updated last year
- This repository is an offical PyTorch implementation of SD-GAN: Semantic Decomposition for Face Image Synthesis with Discrete Attribute.