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PQD: Post-training Quantization for Efficient Diffusion Models
Jiaojiao Ye, Zhen Wang, Linnan Jiang
Diffusionmodels(DMs)havedemonstratedremarkableachievements in synthesizing images of high fidelity and diversity. However, the extensive computational requirements and slow generat…
IterIS: Iterative Inference-Solving Alignment for LoRA Merging
Hongxu Chen, Runshi Li, Bowei Zhu +2
Low-rank adaptations (LoRA) are widely used to fine-tune large models across various domains for specific downstream tasks. While task-specific LoRAs are often available, concerns…
CLIPDrag: Combining Text-based and Drag-based Instructions for Image Editing
Ziqi Jiang, Zhen Wang, Long Chen
Precise and flexible image editing remains a fundamental challenge in computer vision. Based on the modified areas, most editing methods can be divided into two main types: global…
Event-Customized Image Generation
Zhen Wang, Yilei Jiang, Dong Zheng +2
Customized Image Generation, generating customized images with user-specified concepts, has raised significant attention due to its creativity and novelty. With impressive progress…
FreeTuner: Any Subject in Any Style with Training-free Diffusion
Youcan Xu, Zhen Wang, Jun Xiao +2
With the advance of diffusion models, various personalized image generation methods have been proposed. However, almost all existing work only focuses on either subject-driven or s…
Improving Data Augmentation for Robust Visual Question Answering with Effective Curriculum Learning
Yuhang Zheng, Zhen Wang, Long Chen
Being widely used in learning unbiased visual question answering (VQA) models, Data Augmentation (DA) helps mitigate language biases by generating extra training samples beyond the…