collaborators

19 papers

cs.CR2026

TeleGapper: On the (un)reliability of Privacy Policies in Telegram Mini apps

Luca Ferrari, Mariano Ceccato, Luca Verderame

Telegram Mini Apps are Web applications embedded within the Telegram client, forming an ecosystem of third-party services within one of the world's most widely used messaging platf…

cs.CV2026

Cosmos 3: Omnimodal World Models for Physical AI

NVIDIA, :, Aditi +293

We introduce Cosmos 3, a family of omnimodal world models designed to jointly process and generate language, image, video, audio, and action sequences within a unified mixture-of-t…

cs.CV2026

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation

NVIDIA, :, Aarti Basant +32

As autonomous vehicle capabilities advance, the safe evaluation of driving policies in long-tail scenarios remains a critical bottleneck. In closed-loop simulation, the driving pol…

cs.CV2026

APE: Agentic Prompt Enhancer for Image Generation and Editing

Zijian Huang, Jay Zhangjie Wu, Zian Wang +5

Natural language has become a powerful interface for image generation and editing, yet text-guided visual systems remain highly sensitive to prompt formulation. Semantically simila…

cs.CV2026

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players

Fangfu Liu, Kai He, Tianchang Shen +7

World models for interactive video generation have largely focused on single-agent settings, where future observations are generated from a single control signal. However, many gen…

cs.CV2026

PiD: Fast and High-Resolution Latent Decoding with Pixel Diffusion

Yifan Lu, Qi Wu, Jay Zhangjie Wu +4

Most practical high-resolution text-to-image systems, including latent diffusion and autoregressive models, perform generation in a compact latent space, and a decoder maps the gen…