OpenVE-Bench

OpenVE-Bench is a new Instruction-Guided Video Editing benchmark contained 431 video-edit pairs that cover a diverse range of editing tasks with three key metrics highly aligned with human judgment.

A folder containing original videos:

├── OpenVE-Bench                    
│   ├── videos     
|       |── 0000_global_style_Apply_the_Impression.mp4        
|       |── 0001_global_style_Apply_the_Ukiyoe_ani.mp4     
|       |── ...                 
│   ├── benchmark_videos.csv

benchmark_videos.csv contains following fields:

edited_type,prompt,original_video

Generate and Organize Your Videos

Following the editing prompt in the benchmark_videos.csv file and the original_video, generate the video results for your model, and record the video paths in a new CSV new_result.csv file, adding a edited_result_path column at the end.

new_result.csv should contains following fields:

edited_type,prompt,original_video,edited_result_path

Evaluate using Seed1.6VL/Gemini 2.5 Pro/InternVL3.5-38B/Qwen3VL-32B

For Seed1.6VL and Gemini 2.5 Pro, you should set your correct API key.

Seed 1.6 VL

python seed_benchmark.py --input_csv new_result.csv --root_path yours_OpenVE-Bench_path --output_csv new_result_gemini_score.csv

Gemini 2.5 Pro

python gemini_benchmark.py --input_csv new_result.csv --root_path yours_OpenVE-Bench_path --output_csv new_result_gemini_score.csv

InternVL3.5-38B

python internvl_benchmark.py --input_csv new_result.csv --root_path yours_OpenVE-Bench_path --output_csv new_result_gemini_score.csv --model_path /yours_model_path/InternVL3.5-38B

Qwen3VL-32B

python qwen3vl_benchmark.py --input_csv new_result.csv --root_path yours_OpenVE-Bench_path --output_csv new_result_gemini_score.csv --model_path /yours_model_path/Qwen3VL-32B

The final average metric results are in a JSON file.