We propose a novel text-to-video (T2V) generation benchmark, ChronoMagic-Bench, to
evaluate the temporal and metamorphic capabilities of the T2V models (eg Sora and …

As one of the most popular and sought-after generative models in the recent years, diffusion
models have sparked the interests of many researchers and steadily shown excellent …

As a prominent subfield of Artificial Intelligence Generated Content (AIGC), video generation
has achieved notable advancements in recent years. The introduction of Sora-alike models …

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 …

Large-scale video generation models have the inherent ability to realistically model natural
scenes. In this paper, we demonstrate that through a careful design of a generative video …

Diffusion models have demonstrated impressive performance in generating high-quality
videos from text prompts or images. However, precise control over the video generation …

As virtual reality gains popularity, the demand for controllable creation of immersive and
dynamic omnidirectional videos (ODVs) is increasing. While previous text-to-ODV …

The image-to-video (I2V) generation is conditioned on the static image, which has been
enhanced recently by the motion intensity as an additional control signal. These motion …

Diffusion models have demonstrated remarkable success in image generation and editing,
with recent advancements enabling albedo-preserving image relighting. However, applying …