The recent wave of AI-generated content (AIGC) has witnessed substantial success in
computer vision, with the diffusion model playing a crucial role in this achievement. Due to …

Large-scale pre-trained diffusion models have exhibited remarkable capabilities in diverse
video generations. Given a set of video clips of the same motion concept, the task of Motion …

We present PhysGen, a novel image-to-video generation method that converts a single
image and an input condition (eg., force and torque applied to an object in the image) to …

Recent text-to-video diffusion models have achieved impressive progress. In practice, users
often desire the ability to control object motion and camera movement independently for …

Image customization has been extensively studied in text-to-image (T2I) diffusion models,
leading to impressive outcomes and applications. With the emergence of text-to-video (T2V) …

Diffusion-based text-to-video generation has witnessed impressive progress in the past year
yet still falls behind text-to-image generation. One of the key reasons is the limited scale of …

Recent years have witnessed the strong power of 3D generation models, which offer a new
level of creative flexibility by allowing users to guide the 3D content generation process …

In this work, we present MotionBooth, an innovative framework designed for animating
customized subjects with precise control over both object and camera movements. By …

Diffusion models have emerged as the de facto paradigm for video generation. However
their reliance on web-scale data of varied quality often yields results that are visually …

Consistency models have demonstrated powerful capability in efficient image generation
and allowed synthesis within a few sampling steps, alleviating the high computational cost in …