Cover Image

Training Class-Imbalanced Diffusion Model Via Overlap Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yan, Divin, Qi, Lu, Hu, Vincent Tao, Yang, Ming-Hsuan, Tang, Meng
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PromptRR: Diffusion Models as Prompt Generators for Single Image Reflection Removal
by: Wang, Tao, et al.
Published: (2024)

Frequency Domain-Based Diffusion Model for Unpaired Image Dehazing
by: Liu, Chengxu, et al.
Published: (2025)

Learning Deblurring Texture Prior from Unpaired Data with Diffusion Model
by: Liu, Chengxu, et al.
Published: (2025)

CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen
by: Zhang, Hao, et al.
Published: (2023)

Unpaired Deblurring via Decoupled Diffusion Model
by: Cheng, Junhao, et al.
Published: (2025)

Unified Dense Prediction of Video Diffusion
by: Yang, Lehan, et al.
Published: (2025)

Defying Imbalanced Forgetting in Class Incremental Learning
by: Xu, Shixiong, et al.
Published: (2024)

Alleviating Class Imbalance in Semi-supervised Multi-organ Segmentation via Balanced Subclass Regularization
by: Feng, Zhenghao, et al.
Published: (2024)

Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model
by: Huang, Kuan-Chih, et al.
Published: (2024)

Mamba or RWKV: Exploring High-Quality and High-Efficiency Segment Anything Model
by: Yuan, Haobo, et al.
Published: (2024)

On Train-Test Class Overlap and Detection for Image Retrieval
by: Song, Chull Hwan, et al.
Published: (2024)

Pyramid Diffusion for Fine 3D Large Scene Generation
by: Liu, Yuheng, et al.
Published: (2023)

Video Prediction Transformers without Recurrence or Convolution
by: Tang, Yujin, et al.
Published: (2024)

Tuning-Free Image Editing with Fidelity and Editability via Unified Latent Diffusion Model
by: Mao, Qi, et al.
Published: (2025)

FocalCount: Towards Class-Count Imbalance in Class-Agnostic Counting
by: Zhu, Huilin, et al.
Published: (2025)

Tex4D: Zero-shot 4D Scene Texturing with Video Diffusion Models
by: Bao, Jingzhi, et al.
Published: (2024)

Calibrated Multi-Preference Optimization for Aligning Diffusion Models
by: Lee, Kyungmin, et al.
Published: (2025)

ScribbleGen: Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation
by: Schnell, Jacob, et al.
Published: (2023)

Efficient Generation of Targeted and Transferable Adversarial Examples for Vision-Language Models Via Diffusion Models
by: Guo, Qi, et al.
Published: (2024)

Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss Functions
by: Lieberman, Kelsey, et al.
Published: (2024)

DiffClass: Diffusion-Based Class Incremental Learning
by: Meng, Zichong, et al.
Published: (2024)

Layout-your-3D: Controllable and Precise 3D Generation with 2D Blueprint
by: Zhou, Junwei, et al.
Published: (2024)

CoCo4D: Comprehensive and Complex 4D Scene Generation
by: Zhou, Junwei, et al.
Published: (2025)

Guiding Token-Sparse Diffusion Models
by: Krause, Felix, et al.
Published: (2026)

TREAD: Token Routing for Efficient Architecture-agnostic Diffusion Training
by: Krause, Felix, et al.
Published: (2025)

FOAM: A General Frequency-Optimized Anti-Overlapping Framework for Overlapping Object Perception
by: Li, Mingyuan, et al.
Published: (2025)

Restage4D: Reanimating Deformable 3D Reconstruction from a Single Video
by: He, Jixuan, et al.
Published: (2025)

Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
by: Li, Xiaojie, et al.
Published: (2024)

Anisotropic Diffusion Probabilistic Model for Imbalanced Image Classification
by: Kong, Jingyu, et al.
Published: (2024)

Gradient Reweighting: Towards Imbalanced Class-Incremental Learning
by: He, Jiangpeng, et al.
Published: (2024)

Class-wise Flooding Regularization for Imbalanced Image Classification
by: Aizawa, Hiroaki, et al.
Published: (2025)

Breaking Forgetting: Training-Free Few-Shot Class-Incremental Learning via Conditional Diffusion
by: Kang, Haidong, et al.
Published: (2025)

GroupFace: Imbalanced Age Estimation Based on Multi-hop Attention Graph Convolutional Network and Group-aware Margin Optimization
by: Zhang, Yiping, et al.
Published: (2024)

RICASSO: Reinforced Imbalance Learning with Class-Aware Self-Supervised Outliers Exposure
by: Zhang, Xuan, et al.
Published: (2024)

Correcting Class Imbalances with Self-Training for Improved Universal Lesion Detection and Tagging
by: Shieh, Alexander, et al.
Published: (2025)

From Prompt to Progression: Taming Video Diffusion Models for Seamless Attribute Transition
by: Lo, Ling, et al.
Published: (2025)

CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning
by: Lee, Hyuck, et al.
Published: (2024)

Diffusion Models and Representation Learning: A Survey
by: Fuest, Michael, et al.
Published: (2024)

Generalized Low-Rank Matrix Completion Model with Overlapping Group Error Representation
by: Lu, Wenjing, et al.
Published: (2024)

Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference
by: Li, Senmao, et al.
Published: (2023)