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cs.CV2026

Fine-grained Image Aesthetic Assessment: Learning Discriminative Scores from Relative Ranks

Zhichao Yang, Jianjie Wang, Zhixianhe Zhang +4

Image aesthetic assessment (IAA) has extensive applications in content creation, album management, and recommendation systems, etc. In such applications, it is commonly needed to p…

cs.CV2024

ByteEdit: Boost, Comply and Accelerate Generative Image Editing

Yuxi Ren, Jie Wu, Yanzuo Lu +11

Recent advancements in diffusion-based generative image editing have sparked a profound revolution, reshaping the landscape of image outpainting and inpainting tasks. Despite these…

cs.CV2024

Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Yuxi Ren, Xin Xia, Yanzuo Lu +5

Recently, a series of diffusion-aware distillation algorithms have emerged to alleviate the computational overhead associated with the multi-step inference process of Diffusion Mod…

cs.CV2024

UniFL: Improve Latent Diffusion Model via Unified Feedback Learning

Jiacheng Zhang, Jie Wu, Yuxi Ren +9

Latent diffusion models (LDM) have revolutionized text-to-image generation, leading to the proliferation of various advanced models and diverse downstream applications. However, de…

cs.CV2024

ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models

Jiaxiang Cheng, Pan Xie, Xin Xia +7

Recent advancement in text-to-image models (e.g., Stable Diffusion) and corresponding personalized technologies (e.g., DreamBooth and LoRA) enables individuals to generate high-qua…