GAN inversion aims to invert a given image back into the latent space of a pretrained GAN
model so that the image can be faithfully reconstructed from the inverted code by the …

We present 3D Cinemagraphy, a new technique that marries 2D image animation with 3D
photography. Given a single still image as input, our goal is to generate a video that contains …

Diffusion models recently have been successfully applied for the visual synthesis of
strikingly realistic appearing images. This raises strong concerns about their potential for …

We propose a new type of full-body human avatars, which combines parametric mesh-
based body model with a neural texture. We show that with the help of neural textures, such …

We introduce Text2Cinemagraph, a fully automated method for creating cinemagraphs from
text descriptions---an especially challenging task when prompts feature imaginary elements …

We propose a method to interactively control the animation of fluid elements in still images to
generate cinemagraphs. Specifically, we focus on the animation of fluid elements like water …

Video understanding calls for a model to learn the characteristic interplay between static
scene content and its dynamics: Given an image, the model must be able to predict a future …

In this paper, we demonstrate a fully automatic method for converting a still image into a
realistic animated looping video. We target scenes with continuous fluid motion, such as …

Cinemagraphs are short looping videos created by adding subtle motions to a static image.
This kind of media is popular and engaging. However, automatic generation of …

GAN inversion is indispensable for applying the powerful editability of GAN to real images.
However, existing methods invert video frames individually often leading to undesired …