Text-to-Video Generation and Benchmarking
16 repos
Tools, datasets, and evaluation frameworks for generating videos from text descriptions. This cluster focuses on benchmarking and assessing text-to-video models, with repositories providing evaluation kits, large-scale datasets, and standardized assessment methodologies. The central repositories (OpenS2V and ChronoMagic series) emphasize evaluation infrastructure and benchmark datasets for measuring video generation quality and consistency.
Python · 4
Jupyter Notebook · 1
video-generation ·3,756
text-to-video ·3,749
benchmark ·2,236
dataset ·2,201
evaluation-kit ·2,201
aigc ·2,201
gen-ai ·1,973
stable-diffusion ·1,760
time-lapse ·1,577
diffusion-models ·1,566
