radekd91/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

833 103 +0/wk

GitHub

3d-face-alignment 3d-face-reconstruction 3d-graphics 3d-reconstruction 3d-vision computer-vision cvpr deep-learning emotion-recognition face face-alignment face-model

Trend 3

Star & Fork Trend (31 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 833

forks 103

Growth Velocity

radekd91/emoca has +0 stars this period . 7-day velocity: 0.1%.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	emoca	DataAug4NLP	dreamerv3-torch	refiners
Stars	833	833	832	834
Forks	103	77	212	65
Weekly Growth	+0	+0	+0	+0
Language	Python	N/A	Python	Python
Sources	1	1	1	1
License	NOASSERTION	N/A	MIT	MIT

Capability Radar vs DataAug4NLP

emoca

DataAug4NLP

Maintenance Activity 0

Last code push 488 days ago.

Community Engagement 62

Fork-to-star ratio: 12.4%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 30

No clear license detected — proceed with caution.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.