Multimodal Vision Language Models (VLMs) have emerged as a transformative technology
at the intersection of computer vision and natural language processing, enabling machines …

Robot learning holds tremendous promise to unlock the full potential of flexible, general, and
dexterous robot systems, as well as to address some of the deepest questions in artificial …

We introduce Open-Sora Plan, an open-source project that aims to contribute a large
generation model for generating desired high-resolution videos with long durations based …

We study the optimal memorization capacity of modern Hopfield models and Kernelized
Hopfield Models (KHMs), a transformer-compatible class of Dense Associative Memories …

Generative models have made significant impacts across various domains, largely due to
their ability to scale during training by increasing data, computational resources, and model …

Identity-preserving text-to-video (IPT2V) generation aims to create high-fidelity videos with
consistent human identity. It is an important task in video generation but remains an open …

Recently, breakthroughs in video modeling have allowed for controllable camera trajectories
in generated videos. However, these methods cannot be directly applied to user-provided …

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 …

Navigation is a fundamental skill of agents with visual-motor capabilities. We introduce a
Navigation World Model (NWM), a controllable video generation model that predicts future …

We introduce LTX-Video, a transformer-based latent diffusion model that adopts a holistic
approach to video generation by seamlessly integrating the responsibilities of the Video …