4 citations · 5 across the 8 of their papers we have counts for
8 papers
Scaling Muon for Diffusion Transformers
Chenghao Li, Xiao Han, Xinxin Huang +22
The matrix-aware optimizer Muon improves large model training by balancing updates across singular directions, yet its scaling behavior and end-to-end efficiency on large Diffusion…
HIME: Mitigating Object Hallucinations in LVLMs via Hallucination Insensitivity Model Editing
Ahmed Akl, Abdelwahed Khamis, Ali Cheraghian +3
Large Vision-Language Models (LVLMs) have demonstrated impressive multimodal understanding capabilities, yet they remain prone to object hallucination, where models describe non-ex…
InfScene-SR: Seamless Super-Resolution of Arbitrarily Large Remote-Sensing Scenes via Variance-Preserving Joint Denoising
Shoukun Sun, Zhe Wang, Xiang Que +2
Diffusion models now give the best perceptual quality in super-resolution (SR), but their architecture and training confine them to small fixed crops. Operational remote sensing ne…
WordCraft: Interactive Artistic Typography with Attention Awareness and Noise Blending
Zhe Wang, Jingbo Zhang, Tianyi Wei +2
Artistic typography aims to stylize input characters with visual effects that are both creative and legible. Traditional approaches rely heavily on manual design, while recent gene…
Learning-Order Autoregressive Models with Application to Molecular Graph Generation
Zhe Wang, Jiaxin Shi, Nicolas Heess +2
Autoregressive models (ARMs) have become the workhorse for sequence generation tasks, since many problems can be modeled as next-token prediction. While there appears to be a natur…
Decoupled Data Augmentation for Improving Image Classification
Ruoxin Chen, Zhe Wang, Ke-Yue Zhang +5
Recent advancements in image mixing and generative data augmentation have shown promise in enhancing image classification. However, these techniques face the challenge of balancing…
Simplified and Generalized Masked Diffusion for Discrete Data
Jiaxin Shi, Kehang Han, Zhe Wang +2
Masked (or absorbing) diffusion is actively explored as an alternative to autoregressive models for generative modeling of discrete data. However, existing work in this area has be…
DiffBody: Human Body Restoration by Imagining with Generative Diffusion Prior
Yiming Zhang, Zhe Wang, Xinjie Li +5
Human body restoration plays a vital role in various applications related to the human body. Despite recent advances in general image restoration using generative models, their per…