SingleZombie/AFLDM

[CVPR 2025 Oral] Alias-free Latent Diffusion Models (official implementation)

38
/ 100
Emerging

This project helps computer vision researchers and practitioners create more realistic and consistent visual content. It takes existing image and video data as input and produces outputs like smoothly edited videos, interpolated images, or enhanced super-resolution images. It's designed for those who work on advanced image and video generation tasks and need high fidelity results.

107 stars.

Use this if you are a computer vision researcher or engineer focused on generating, editing, or enhancing visual content with high precision and spatial consistency.

Not ideal if you need a blind super-resolution solution or extensive video editing capabilities, as these areas currently have limitations.

computer-vision image-generation video-editing super-resolution image-interpolation
No Package No Dependents
Maintenance 6 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 7 / 25

How are scores calculated?

Stars

107

Forks

4

Language

Python

License

Last pushed

Dec 09, 2025

Commits (30d)

0

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