- 🌎 From Anshan, China
- Currently a research postgraduate at Imperial
- Check my personal page
- 📫 How to reach me: [email protected] or [email protected]
29.11.2023 - 1 week plan 学习计划（intern）
- Blog about Diffusion models （需要复习一些基础数学知识）
- 深入理解高斯分布知乎文章
- KL, ELBO详细推导Variational Inference bilibili
- 蒙特卡罗方法详解[知乎]（https://zhuanlan.zhihu.com/p/369099011） e.g., Box-Muller变换原理详解[CSDN] (https://blog.csdn.net/weixin_41793877/article/details/84700875?spm=1001.2101.3001.6650.1&utm_medium=distribute.pc_relevant.none-task-blog-2%7Edefault%7ECTRLIST%7ERate-1-84700875-blog-118715198.235%5Ev39%5Epc_relevant_3m_sort_dl_base2&depth_1-utm_source=distribute.pc_relevant.none-task-blog-2%7Edefault%7ECTRLIST%7ERate-1-84700875-blog-118715198.235%5Ev39%5Epc_relevant_3m_sort_dl_base2&utm_relevant_index=2)
- 视频资料Hongyi Li courses
- 扩散模型(Diffusion Model)论文汇总GitHub
- 最新综述A Survey on Generative Diffusion Models
- 简单的DM + registration 2 papers FSDiffReg DiffuseMorph
- presentation
- Blog about Diffusion models
- A general framework of current diffusion models(2022)
- SCORE-BASED DIFFUSION MODELS IN FUNCTION SPACE (2023)
- BLURRING DIFFUSION MODELS (2022)
- GENERATIVE MODELLING WITH INVERSE HEAT DISSIPATION (2022)
- Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise (2022)
- SOFT DIFFUSION SCORE MATCHING FOR GENERAL CORRUPTIONS (2022)
- Denoising Diffusion Implicit Models (2022)
- DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps (2022)
- DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models (2022)
- UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models (2023)
- Universal Guidance for Diffusion Models (2023)
- MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model (2023)
- Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models (2022)
- Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding (2021)
- Multiscale Vision Transformers (2021)
- ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias (2021)
- Co-Scale Conv-Attentional Image Transformers (2021)
- CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention (2021)
- Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation (2021)
- MViTv2: Improved Multiscale Vision Transformers for Classification and Detection (2022)
- Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers (2021)
- Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning (2022)
- UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation (2022)
- Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging (2023)
- M2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation (2023)
- MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation (2023)
- A ConvNet for the 2020s (2023)
- A Permutable Hybrid Network for Volumetric Medical Image Segmentation (2023)
- HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation (2023)
- Knowledge Distillation Basics
- RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images (2023)