In this paper we present CCEdit a versatile generative video editing framework based on
diffusion models. Our approach employs a novel trident network structure that separates …

Humans watch more than a billion hours of video per day. Most of this video was edited
manually, which is a tedious process. However, AI-enabled video-generation and video …

Reconstructing models of the real world, including 3D geometry, appearance, and motion of
real scenes, is essential for computer graphics and computer vision. It enables the …

Abstract We introduce Exo2Ego-V, a novel exocentric-to-egocentric diffusion-based video
generation method for daily-life skilled human activities where sparse 4-view exocentric …

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 …

Latent Diffusion Models (LDMs) are renowned for their powerful capabilities in image and
video synthesis. Yet, compared to text-to-image (T2I) editing, text-to-video (T2V) editing …

Video generation and editing, particularly human-centric video editing, has seen a surge of
interest in its potential to create immersive and dynamic content. A fundamental challenge is …

Colonoscopy reconstruction is pivotal for diagnosing colorectal cancer. However, accurate
long-sequence colonoscopy reconstruction faces three major challenges:(1) dissimilarity …

Motion-preserved video editing is crucial for creators, particularly in scenarios that demand
flexibility in both the structure and semantics of swapped objects. Despite its potential, this …