Face-Depth-Network VS HIPT

Compare Face-Depth-Network vs HIPT and see what are their differences.

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Face-Depth-Network HIPT
1 1
20 455
- 2.0%
10.0 4.3
almost 2 years ago about 1 month ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Face-Depth-Network

Posts with mentions or reviews of Face-Depth-Network. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-15.

HIPT

Posts with mentions or reviews of HIPT. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Face-Depth-Network and HIPT you can also consider the following projects:

CVPR2022-DaGAN - Official code for CVPR2022 paper: Depth-Aware Generative Adversarial Network for Talking Head Video Generation

SfMLearner - An unsupervised learning framework for depth and ego-motion estimation from monocular videos

nn - 🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

diffae - Official implementation of Diffusion Autoencoders

VToonify - [SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer