- 🔭 I am presently focusing on addressing fundamental problems in the area of AIGC. My work includes text-to-image generation/editing, text-to-video generation, training large language models (LLMs) using Megatron-LLM, and applying LLMs to visual content generation and comprehension. Additionally, I am working on unifying the understanding and generation/editing of image, video, and point-cloud data, with a particular emphasis on fundamental visual understanding tasks, such as semantic and panoptic segmentation, object detection, and visual generation tasks like image, video, and 3D-NeRF generation, at Microsoft Research Asia.
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SeniorResearcher@MicrosoftResearch
- Beijing
- researcher.yuanyuhui@gmail.com
- @RainbowYuhui
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AIGText/Glyph-ByT5
AIGText/Glyph-ByT5 PublicThis is an official inference code of the paper "Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering"
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AIGText/GlyphControl-release
AIGText/GlyphControl-release Public[NeurIPS2023] This is the official code of the paper "GlyphControl: Glyph Conditional Control for Visual Text Generation"
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RockeyCoss/Prompt-Segment-Anything
RockeyCoss/Prompt-Segment-Anything PublicThis is an implementation of zero-shot instance segmentation using Segment Anything.
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HDETR/H-Deformable-DETR
HDETR/H-Deformable-DETR Public[CVPR2023] This is an official implementation of paper "DETRs with Hybrid Matching".
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HRNet/HRFormer
HRNet/HRFormer Public[ NeurIPS2021] This is an official implementation of our paper "HRFormer: High-Resolution Transformer for Dense Prediction".
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openseg-group/openseg.pytorch
openseg-group/openseg.pytorch PublicThe official Pytorch implementation of OCNet series and SegFix.
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