We propose Make-A-Video--an approach for directly translating the tremendous recent
progress in Text-to-Image (T2I) generation to Text-to-Video (T2V). Our intuition is simple …

Given two images depicting a person and a garment worn by another person, our goal is to
generate a visualization of how the garment might look on the input person. A key challenge …

Effectively extracting inter-frame motion and appearance information is important for video
frame interpolation (VFI). Previous works either extract both types of information in a mixed …

Novel view synthesis from a single image has been a cornerstone problem for many Virtual
Reality applications that provide immersive experiences. However, most existing techniques …

Abstract We present All-Pairs Multi-Field Transforms (AMT), a new network architecture for
video frame interpolation. It is based on two essential designs. First, we build bidirectional …

We present VIDIM a generative model for video interpolation which creates short videos
given a start and end frame. In order to achieve high fidelity and generate motions unseen in …

Image sensors face substantial challenges when dealing with dynamic, diverse and
unpredictable scenes in open-world applications. However, the development of image …

We introduce ToonCrafter, a novel approach that transcends traditional correspondence-
based cartoon video interpolation, paving the way for generative interpolation. Traditional …

Implicit neural representations (INR) have gained increasing attention in representing 3D
scenes and images, and have been recently applied to encode videos (eg, NeRV, E-NeRV) …

In this paper, we present VideoGen, a text-to-video generation approach, which can
generate a high-definition video with high frame fidelity and strong temporal consistency …