60 datasets found

The dataset used in the paper is InterVid-14M-aesthetics, which is a subset of InterVid-14M used to remove watermarks from generated videos.

Video generation is one of the most challenging tasks in Machine Learning and Computer Vision fields of study. In this paper, we tackle the text to video generation problem,...

A non-parametric approach for video generation from a single video, outperforming single-video GANs in visual quality and realism.

Video Diffusion Models have been developed for video generation, usually integrating text and image conditioning to enhance control over the generated content.

A high-resolution landscape video dataset with audio-visual pairs for sound-guided video generation task.

A video dataset for training a generalist video generation model.

The dataset used in the paper for consistent image generation and video generation.

Customized generation using diffusion models has made impressive progress in image generation, but remains un-satisfactory in the challenging video generation task, as it...

A dataset of 30M videos along with their text captions.

Diffusion models have achieved great success in image generation. However, when leveraging this idea for video generation, we face significant challenges in maintaining the...

StyleVideoGAN: A Temporal Generative Model using a Pretrained StyleGAN

MOFA-Video is a controllable image animation method that generates video from the given image using various additional controllable signals.

The dataset used in the paper is MSR-VTT and UCF-101, two public datasets for video-text generation. MSR-VTT contains 4,900 videos with 20 manually annotated captions for each...

The SoloDance dataset contains 179 solo dance videos in real scenes collected online.

The iPER dataset was proposed by [25], which was collected in the laboratory environment.

Human Video Motion Transfer (HVMT) aims to, given an image of a source person, generate his/her video that imitates the motion of the driving person.

E2VID is an event-to-video pipeline that converts event data into a video sequence.

The CLEVRER dataset is a dataset for video reasoning, where videos are presented to the model, along with a set of related questions, and the model's outputs are the answers to...

Sky Time-lapse for video generation

TaiChi-HD for video generation