Search Results for author: Yanzuo Lu

Found 4 papers, 2 papers with code

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

no code implementations21 Apr 2024 Yuxi Ren, Xin Xia, Yanzuo Lu, Jiacheng Zhang, Jie Wu, Pan Xie, Xing Wang, Xuefeng Xiao

Current distillation techniques often dichotomize into two distinct aspects: i) ODE Trajectory Preservation; and ii) ODE Trajectory Reformulation.

Image Generation

ByteEdit: Boost, Comply and Accelerate Generative Image Editing

no code implementations7 Apr 2024 Yuxi Ren, Jie Wu, Yanzuo Lu, Huafeng Kuang, Xin Xia, Xionghui Wang, Qianqian Wang, Yixing Zhu, Pan Xie, Shiyin Wang, Xuefeng Xiao, Yitong Wang, Min Zheng, Lean Fu

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

Image Outpainting

Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis

1 code implementation28 Feb 2024 Yanzuo Lu, Manlin Zhang, Andy J Ma, Xiaohua Xie, Jian-Huang Lai

While existing methods simply align the person appearance to the target pose, they are prone to overfitting due to the lack of a high-level semantic understanding on the source person image.

Pose-Guided Image Generation

MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation

1 code implementation13 Dec 2023 Yanzuo Lu, Meng Shen, Andy J Ma, Xiaohua Xie, Jian-Huang Lai

Universal domain adaptation (UniDA) is a practical but challenging problem, in which information about the relation between the source and the target domains is not given for knowledge transfer.

Transfer Learning Universal Domain Adaptation

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