Upload and evaluate video models
Generate a video from text with voice narration
Generate subtitled videos from YouTube links
Create videos with FFMPEG + Qwen2.5-Coder
Generate animated videos from text prompts
Dub videos into different languages
Generate sound effects for silent videos
Video Super-Resolution with Text-to-Video Model
Apply the motion of a video on a portrait
Easily remove your videos background!
Create an animated audio visualizer video from audio and image
Swap faces in videos
Inpaint masks in videos
VBench Leaderboard is a comprehensive evaluation platform designed for video model benchmarking. It allows users to upload and evaluate video models, providing detailed performance metrics and comparative analysis. This tool is particularly useful for researchers and developers in the video generation domain, enabling them to track advancements and improvements in their models over time. VBench Leaderboard serves as a centralized hub for model comparison, fostering innovation and transparency in the field.
What types of video models can I evaluate on VBench Leaderboard?
VBench Leaderboard supports a wide range of video models, including but not limited to generative models, video-to-video translation models, and video enhancement models.
Is the VBench Leaderboard public?
Yes, the Leaderboard is publicly accessible, but you can choose to keep your model's results private if you prefer not to share them with the community.
What performance metrics does VBench Leaderboard use?
The platform evaluates models based on accuracy, inference speed, and memory usage, among other customizable metrics.