Abstract Low-Rank Adaptation (LoRA), which updates the dense neural network layers with
pluggable low-rank matrices, is one of the best performed parameter efficient fine-tuning …

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 …

Art reinterpretation is the practice of creating a variation of a reference work, making a paired
artwork that exhibits a distinct artistic style. We ask if such an image pair can be used to …

We introduce Videoshop, a training-free video editing algorithm for localized semantic edits.
Videoshop allows users to use any editing software, including Photoshop and generative …

The evolution of diffusion models has greatly impacted video generation and understanding.
Particularly, text-to-video diffusion models (VDMs) have significantly facilitated the …

Existing pretrained text-to-video (T2V) models have demonstrated impressive abilities in
generating realistic videos with basic motion or camera movement. However, these models …

We introduce OmniCreator, a novel framework that can conduct text-prompted unified
(image+ video) generation as well as editing all in one place. OmniCreator acquires …

Human motion video generation has garnered significant research interest due to its broad
applications, enabling innovations such as photorealistic singing heads or dynamic avatars …

Recent advancements in generative models have significantly impacted content creation,
leading to the emergence of Personalized Content Synthesis (PCS). With a small set of user …

Crafting magic and illusions is one of the most thrilling aspects of filmmaking, with visual
effects (VFX) serving as the powerhouse behind unforgettable cinematic experiences. While …