xmu-xiaoma666
@xmu-xiaoma666Algorithm Engineer at Xiaohongshu (dots) | Ph.D. from MAC Lab, Xiamen University | Multimodal LLMs & Text-to-Image
Language Breakdown
Lines of code distribution across 25 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Python
Collaboration Network
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Repos
38
PRs
0
Growth
+18%
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Coding Streak
Contribution activity over the past year
Xingjun.Wang
@wangxingjun778
Shengqiong Wu
@ChocoWu
Hao Fei
@scofield7419
Weihuang Lin
@WeihuangLin
Ziyu Guo
@ZiyuGuo99
Top Repositories
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
⭐⭐⭐FightingCV Paper Reading, which helps you understand the most advanced research work in an easier way 🍀 🍀 🍀
A pytorch implementation of “X-Dreamer: Creating High-quality 3D Content by Bridging the Domain Gap Between Text-to-2D and Text-to-3D Generation”
Towards Local Visual Modeling for Image Captioning
Pytorch implement ion of RepMLP
A pytorch implementation of “ X-Mesh: Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual Guidance”
Multimodal Open-O1 (MO1) is designed to enhance the accuracy of inference models by utilizing a novel prompt-based approach. This tool works locally and aims to create inference chains akin to those used by OpenAI-o1, but with localized processing power.
ECCV2022-Paper-List
Official Code for "Knowing what it is: Semantic-enhanced Dual Attention Transformer" (TMM2022)
Open Source Impact
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