The rapid development of diffusion models (DMs) has significantly advanced image and
video applications, making" what you want is what you see" a reality. Among these, video …

We consider the problem of editing 3D objects and scenes based on open-ended language
instructions. A common approach to this problem is to use a 2D image generator or editor to …

We introduce DragAPart, a method that, given an image and a set of drags as input,
generates a new image of the same object that responds to the action of the drags …

This study aims to achieve more precise and versatile object control in image-to-video (I2V)
generation. Current methods typically represent the spatial movement of target objects with …

We present Puppet-Master, an interactive video generative model that can serve as a motion
prior for part-level dynamics. At test time, given a single image and a sparse set of motion …

The field of video generation is rapidly evolving, driven by advancements in generative
models. This survey provides a comprehensive analysis of the diverse methodologies …

In this paper, we introduce a new challenging task called Zero-Shot Controllable Image-to-
Video Animation, where the goal is to animate an image based on motion trajectories …

Text-to-video editing aims to edit the visual appearance of a source video conditional on
textual prompts. A major challenge in this task is to ensure that all frames in the edited video …

Recent advancements in video generation have been greatly driven by video diffusion
models, with camera motion control emerging as a crucial challenge in creating view …

The emergence of diffusion models has greatly propelled the progress in image and video
generation. Recently, some efforts have been made in controllable video generation …