Movie Gen is a cast of foundation models that generates high-quality, 1080p HD videos with different aspect ratios and synchronized audio. Here, we introduce our evaluation benchmark "Movie Gen Bench Video Bench", as detailed in the Movie Gen technical report (Section 3.5.2).
To enable fair and easy comparison to Movie Gen for future works on these evaluation benchmarks, we additionally release the non cherry-picked generated videos from Movie Gen on Movie Gen Video Bench.
Movie Gen Video Bench consists of 1003 prompts that cover all the different testing aspects/concepts:


We are releasing two versions of the benchmark:
from datasets import load_dataset
# to download only the prompts
dataset = load_dataset("meta-ai-for-media-research/movie_gen_video_bench_no_generations")["test"]
for example in dataset:
print(example)
break
# to download the prompts and movie gen generations
dataset = load_dataset("meta-ai-for-media-research/movie_gen_video_bench", split="test_with_generations", streaming=True)
for example in dataset:
break
# to display Movie Gen generated video and the prompt on jupyter notebook
import mediapy
with open("tmp.mp4", "wb") as f:
f.write(example["video"])
video = mediapy.read_video("tmp.mp4")
print(example["prompt"])
mediapy.show_video(video)
Licensed with CC-BY-NC License.
4 commits
3 commits
Movie Gen is a cast of foundation models that generates high-quality, 1080p HD videos with different aspect ratios and synchronized audio. Here, we introduce our evaluation benchmark "Movie Gen Bench Video Bench", as detailed in the Movie Gen technical report (Section 3.5.2).
To enable fair and easy comparison to Movie Gen for future works on these evaluation benchmarks, we additionally release the non cherry-picked generated videos from Movie Gen on Movie Gen Video Bench.
Movie Gen Video Bench consists of 1003 prompts that cover all the different testing aspects/concepts:


We are releasing two versions of the benchmark:
from datasets import load_dataset
# to download only the prompts
dataset = load_dataset("meta-ai-for-media-research/movie_gen_video_bench_no_generations")["test"]
for example in dataset:
print(example)
break
# to download the prompts and movie gen generations
dataset = load_dataset("meta-ai-for-media-research/movie_gen_video_bench", split="test_with_generations", streaming=True)
for example in dataset:
break
# to display Movie Gen generated video and the prompt on jupyter notebook
import mediapy
with open("tmp.mp4", "wb") as f:
f.write(example["video"])
video = mediapy.read_video("tmp.mp4")
print(example["prompt"])
mediapy.show_video(video)
Licensed with CC-BY-NC License.
4 commits
3 commits