10 datasets found

The dataset used for training the InstructVid2Vid model, which consists of video-instruction-edited video triplets.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors collect 3K videos (60-90 seconds long) from the internet to train their model.

The Emu Video Edit model's training dataset, containing 1600 videos with 7 editing instructions each.

The dataset used for training the Emu Video Edit model, containing 1600 videos.

ControlVideo is a general framework to utilize T2I diffusion models for one-shot video editing, which incorporates additional conditions such as edge maps, the key frame and...

The dataset used in the paper for video editing tasks

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the DAVIS dataset and the Pexels website to gather face videos.

The Show-1 dataset is a text-to-video diffusion model.

The dataset used in this paper for text-to-video generation, consisting of short video clips.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used 26 text-video pairs from the public DAVIS and WebVid datasets.