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 …

Sora is a text-to-video generative AI model, released by OpenAI in February 2024. The
model is trained to generate videos of realistic or imaginative scenes from text instructions …

Animating a still image offers an engaging visual experience. Traditional image animation
techniques mainly focus on animating natural scenes with stochastic dynamics (eg clouds …

The field of visual computing is rapidly advancing due to the emergence of generative
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …

Despite the recent progress in text-to-video generation, existing studies usually overlook the
issue that only spatial contents but not temporal motions in synthesized videos are under the …

Recent advancements in personalized text-to-image (T2I) models have revolutionized
content creation empowering non-experts to generate stunning images with unique styles …

We introduce Motion-I2V, a novel framework for consistent and controllable text-guided
image-to-video generation (I2V). In contrast to previous methods that directly learn the …

Realistic object interactions are crucial for creating immersive virtual experiences, yet
synthesizing realistic 3D object dynamics in response to novel interactions remains a …

Neural radiance fields (NeRF) achieve highly photo-realistic novel-view synthesis, but it's a
challenging problem to edit the scenes modeled by NeRF-based methods, especially for …

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 …