7 citations · 7 across the 5 of their papers we have counts for
6 papers
Unveiling the Secret of AdaLN-Zero in Diffusion Transformer
Jie Zhu, Mingyu Ding, Boqiang Duan +2
Diffusion transformer (DiT), a rapidly emerging architecture for image generation, has gained much attention. However, despite ongoing efforts to improve its performance, the under…
A Simple Baseline for Unifying Understanding, Generation, and Editing via Vanilla Next-token Prediction
Jie Zhu, Hanghang Ma, Jia Wang +6
In this work, we introduce Wallaroo, a simple autoregressive baseline that leverages next-token prediction to unify multi-modal understanding, image generation, and editing at the…
Auditing Data Provenance in Real-world Text-to-Image Diffusion Models for Privacy and Copyright Protection
Jie Zhu, Leye Wang
Text-to-image diffusion model since its propose has significantly influenced the content creation due to its impressive generation capability. However, this capability depends on l…
A Unified and Scalable Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability
Jie Zhu, Jirong Zha, Ding Li +1
Self-supervised learning shows promise in harnessing extensive unlabeled data, but it also confronts significant privacy concerns, especially in vision. In this paper, we perform m…
MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts
Jie Zhu, Yixiong Chen, Mingyu Ding +3
Text-to-image diffusion has attracted vast attention due to its impressive image-generation capabilities. However, when it comes to human-centric text-to-image generation, particul…
Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment
Jie Zhu, Leye Wang, Xiao Han
The size of deep learning models in artificial intelligence (AI) software is increasing rapidly, which hinders the large-scale deployment on resource-restricted devices (e.g., smar…