hichemfelouat/3DDGD

This is a research prototype with minimal adoption (2 stars, 1 fork, zero velocity over 299 days indicates no ongoing development or user interest). The README describes a combination of existing techniques: 3D face mesh extraction (commodity via Mediapipe), standard GAN-based deepfake synthesis, and CNN-based detection. While the specific angle of using 3D mesh representations rather than 2D images is a reasonable research direction, the execution appears to be a straightforward application of known patterns without novel algorithmic contribution or production-grade implementation. The project shows no evidence of real users, community engagement, or technical depth that would create defensibility. Frontier labs (Google, OpenAI, Anthropic) have substantially more advanced capabilities in face manipulation, 3D reconstruction, and synthetic media detection. Google's Mediapipe and Tensorflow already provide 3D face mesh primitives; adding deepfake generation/detection on top is within the capability envelope of any major AI lab and represents a high risk of commoditization or direct competition. The lack of velocity suggests the author has moved on. This would be categorized as an academic exercise or course project rather than a production system or novel research contribution.