【NeurIPS'25】Why Diffusion Models Don't Memorize
【双语】Variational Autoencoders
【论文导读】多模态大语言模型综述(一)介绍
【双语】Generative Modeling via Drifting | MingYang Deng
【NeurIPS 2024 Tutorial】Flow Matching for Generative Modeling
【论文导读】Qwen2-VL
【双语】Stable Diffusion from Scratch in PyTorch - Conditional LDM
【NeurIPS'25 Tutorial】Autoregressive Models Beyond Language
Dual Diffusion Implicit Bridges for Image-to-Image Translation
【双语】VQ-VAE : Explanation and Implementation
【CVPRW 2025】Kaiming He (MIT)
【ICLR'26】Latent Speech-Text Transformer
【论文导读】Qwen-VL
【双语】Attention Residuals, Visually Explained
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
【ICLR'26】Energy-Based Transformers are Scalable Learners and Thinkers
Meta Flow Maps enable scalable reward alignment | Peter Potaptchik
【ICLR'26】AnyUp: Universal Feature Upsampling
【论文分享】ICEdit (NeurIPS 2025) - 基于DiT的高效图像指令编辑框架
We've Been Doing Attention Wrong (2-Line Fix)