(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

Official implementation of CoDA

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。

本人的科研经验

Code implementation for ICLR 2025 paper: ELFS: Label-Free Coreset Selection with Proxy Training Dynamics

DragMesh: Interactive 3D Generation Made Easy

[ICLR 2025] GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost

Dataset Distillation via Committee Voting

🚀 An awesome list of curated Nano Banana pro prompts and examples. Your go-to resource for mastering prompt engineering and exploring the creative potential of the Nano banana pro(Nano banana 2) AI…