Search Results for author: Shanglin Li

Found 4 papers, 4 papers with code

ZONE: Zero-Shot Instruction-Guided Local Editing

1 code implementation28 Dec 2023 Shanglin Li, Bohan Zeng, Yutang Feng, Sicheng Gao, Xuhui Liu, Jiaming Liu, Li Lin, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang

We then propose a Region-IoU scheme for precise image layer extraction from an off-the-shelf segment model.

Image Generation

Federated Learning via Input-Output Collaborative Distillation

1 code implementation22 Dec 2023 Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David Doermann

Federated learning (FL) is a machine learning paradigm in which distributed local nodes collaboratively train a central model without sharing individually held private data.

Federated Learning Image Classification

IPDreamer: Appearance-Controllable 3D Object Generation with Image Prompts

1 code implementation9 Oct 2023 Bohan Zeng, Shanglin Li, Yutang Feng, Hong Li, Sicheng Gao, Jiaming Liu, Huaxia Li, Xu Tang, Jianzhuang Liu, Baochang Zhang

Recent advances in 3D generation have been remarkable, with methods such as DreamFusion leveraging large-scale text-to-image diffusion-based models to supervise 3D generation.

3D Generation Image to 3D +2

Controllable Mind Visual Diffusion Model

1 code implementation17 May 2023 Bohan Zeng, Shanglin Li, Xuhui Liu, Sicheng Gao, XiaoLong Jiang, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang

Brain signal visualization has emerged as an active research area, serving as a critical interface between the human visual system and computer vision models.

Attribute Image Generation

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