faceswap and face-swapping

With vastly different star counts and descriptions, these two projects are **competitors**, as both aim to provide face-swapping capabilities, but "deepfakes/faceswap" is a significantly more established and widely adopted solution, while "meliy-meyada/face-swapping" appears to be a nascent or personal project focused on using OpenCV and DLIB for face and landmark extraction.

faceswap
71
Verified
face-swapping
20
Experimental
Maintenance 20/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 10/25
Adoption 1/25
Maturity 9/25
Community 0/25
Stars: 55,038
Forks: 13,419
Downloads:
Commits (30d): 11
Language: Python
License: GPL-3.0
Stars: 1
Forks:
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
No Package No Dependents

About faceswap

deepfakes/faceswap

Deepfakes Software For All

Implements a three-stage pipeline: face extraction using detection models, training generative adversarial networks (GANs) on paired face datasets, and conversion via learned models. Supports GPU acceleration via CUDA and ROCm, with both CLI and GUI interfaces. Modular architecture allows swapping detection and generative models, enabling experimentation with different neural network architectures for improved swap quality.

About face-swapping

meliy-meyada/face-swapping

ในโครงการนี้จะใช้ OpenCV และ DLIB เพื่อแยกใบหน้าของมนุษย์จากภาพที่กำหนดจะใช้โมเดล Pretained เพื่อแยกสถานที่สำคัญออกจากใบหน้า

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