Stars
A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"
Official implementation of Mitigating Sexual Content Generation via Embedding Distortion in Text-conditioned Diffusion Models
“FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching” FlowAR employs a simplest scale design and is compatible with any VAE.
Glance: Accelerating Diffusion Models with 1 Sample
(NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original ImageNet-1K val set.
[CVPR 2025] Classifier-Free Guidance inside the Attraction Basin May Cause Memorization
Official code for "Stage-wise Dynamics of Classifier-Free Guidance in Diffusion Models"
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models
The Third Place Winner in Generative Track of the ECCV 2024 DD Challenge
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
[ICLR 2025] Official repository for the paper "Influence-Guided Diffusion for Dataset Distillation".
[CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient
code for preprocessing and analysis for the paper "Exploring spatio-temporal neural dynamics of the human visual cortex"
[Neurips 2024] A Multi-Granularity Patching Transformer for Medical Time-Series Classification
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
Official PyTorch Implementation of "Don't Play Favorites: Minority Guidance for Diffusion Models" (ICLR 2024)
[CVPR 2025] ArtFormer: Controllable Generation of Diverse 3D Articulated Objects
A python package to streamline evaluation of unconditional image generation models
本文原文由知名 Hacker Eric S. Raymond 所撰寫，教你如何正確的提出技術問題並獲得你滿意的答案。
Code implementation for ICLR 2025 paper: ELFS: Label-Free Coreset Selection with Proxy Training Dynamics