Výsledky vyhledávání - "Zhou, Kaiqiang"

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OmniBooth: Learning Latent Control for Image Synthesis with Multi-modal Instruction

Autor: Li, Leheng, Qiu, Weichao, Yan, Xu, He, Jing, Zhou, Kaiqiang, Cai, Yingjie, Lian, Qing, Liu, Bingbing, Chen, Ying-Cong

We present OmniBooth, an image generation framework that enables spatial control with instance-level multi-modal customization. For all instances, the multimodal instruction can be described through text prompts or image references. Given a set of us

Externí odkaz: http://arxiv.org/abs/2410.04932

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Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction

Autor: He, Jing, Li, Haodong, Yin, Wei, Liang, Yixun, Li, Leheng, Zhou, Kaiqiang, Zhang, Hongbo, Liu, Bingbing, Chen, Ying-Cong

Leveraging the visual priors of pre-trained text-to-image diffusion models offers a promising solution to enhance zero-shot generalization in dense prediction tasks. However, existing methods often uncritically use the original diffusion formulation,

Externí odkaz: http://arxiv.org/abs/2409.18124

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DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception

Autor: Wang, Yibo, Gao, Ruiyuan, Chen, Kai, Zhou, Kaiqiang, Cai, Yingjie, Hong, Lanqing, Li, Zhenguo, Jiang, Lihui, Yeung, Dit-Yan, Xu, Qiang, Zhang, Kai

Current perceptive models heavily depend on resource-intensive datasets, prompting the need for innovative solutions. Leveraging recent advances in diffusion models, synthetic data, by constructing image inputs from various annotations, proves benefi

Externí odkaz: http://arxiv.org/abs/2403.13304

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