Abstract: We propose a novel framework, Stable Diffusion-based Momentum Integrated Adversarial Examples (SD-MIAE), for generating adversarial examples that can effectively mislead neural network ...
A new spatial transcriptomic technology captures RNA patterns without requiring expensive imaging ...
As LLMs and diffusion models power more applications, their safety alignment becomes critical. Our research shows that even minimal downstream fine‑tuning can weaken safeguards, raising a key question ...
A relatively simple experiment involving asking a generative AI to compare two objects of very different sizes allows us to ...
From the Department of Bizarre Anomalies: Microsoft has suppressed an unexplained anomaly on its network that was routing traffic destined to example.com—a domain reserved for testing purposes—to a ...
Jun 5, 2025: We released our script and Blender project for creating synthetic datasets. Jun 2, 2025: We added inference code based on Wan2.1Fun 1.3B fine-tuning to the Wanfun branch. Apr 2, 2025: ...
Abstract: Over the past few years, self-supervised monocular depth estimation has received widespread attention. Most efforts focus on designing different types of network architectures and loss ...
Real-time generation demo: our D2F model (left) uses parallel block decoding, while the AR baseline (right) generates tokens sequentially. This visualizes the source of D2F's significant throughput ...
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