6 papers
InfScene-SR: Arbitrary-Size Image Super-Resolution via Iterative Joint-Denoising
Shoukun Sun, Zhe Wang, Xiang Que +2
While diffusion models have achieved state-of-the-art performance in Image Super-Resolution (SR), their prohibitive computational and memory demands restrict their training and inf…
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…
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…
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…
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…