【NeurIPS'25】Why Diffusion Models Don't Memorize
【双语】Generative Modeling via Drifting | MingYang Deng
【双语】Variational Autoencoders
【双语】Latent Space Visualisation PCA, t-SNE, UMAP
【双语】Attention Residuals, Visually Explained
Dual Diffusion Implicit Bridges for Image-to-Image Translation
【NeurIPS 2024 Tutorial】Flow Matching for Generative Modeling
How to build a consistency model: Learning flow maps via self-distillation
【论文导读】Qwen2-VL
【NeurIPS'25 Tutorial】Autoregressive Models Beyond Language
Meta Flow Maps enable scalable reward alignment | Peter Potaptchik
【双语】Diffusion and Score-Based Generative Models, Yang Song, Stanford University
【双语】Stable Diffusion from Scratch in PyTorch - Conditional LDM
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
【CVPRW 2025】Kaiming He (MIT)
【论文分享】ICEdit (NeurIPS 2025) - 基于DiT的高效图像指令编辑框架
【论文导读】Qwen-VL
【ICLR'26】Energy-Based Transformers are Scalable Learners and Thinkers
Likelihood Training of Schrödinger Bridge Using Forward-Backward SDEs Theory
We've Been Doing Attention Wrong (2-Line Fix)