Text-to-video (T2V) models like Sora have made significant strides in visualizing complex
prompts, which is increasingly viewed as a promising path towards constructing the …

Motion control is crucial for generating expressive and compelling video content; however,
most existing video generation models rely mainly on text prompts for control, which struggle …

Large text-to-video models hold immense potential for a wide range of downstream
applications. However, these models struggle to accurately depict dynamic object …

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 …

Recent advancements in AI-generated content have significantly improved the realism of 3D
and 4D generation. However, most existing methods prioritize appearance consistency …

Generative Artificial Intelligence (AI) has rapidly advanced the field of computer vision by
enabling machines to create and interpret visual data with unprecedented sophistication …

We introduce PhysMotion, a novel framework that leverages principled physics-based
simulations to guide intermediate 3D representations generated from a single image and …

Medical video generation has transformative potential for enhancing surgical understanding
and pathology insights through precise and controllable visual representations. However …

Large Language Models (LLMs) have transformed numerous domains by providing
advanced capabilities in natural language understanding, generation, and reasoning …

Physical reasoning is an important skill needed for robotic agents when operating in the real
world. However, solving such reasoning problems often involves hypothesizing and …