Difficulty Controlled Diffusion Model for Synthesizing Effective Training Data
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Zerun, Mao, Jiafeng, Wang, Xueting, Yamasaki, Toshihiko |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
From Obstacles to Resources: Semi-supervised Learning Faces Synthetic Data Contamination
by: Wang, Zerun, et al.
Published: (2024)
by: Wang, Zerun, et al.
Published: (2024)
Reward Incremental Learning in Text-to-Image Generation
by: Wang, Maorong, et al.
Published: (2024)
by: Wang, Maorong, et al.
Published: (2024)
SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning
by: Wang, Zerun, et al.
Published: (2024)
by: Wang, Zerun, et al.
Published: (2024)
Dealing with Synthetic Data Contamination in Online Continual Learning
by: Wang, Maorong, et al.
Published: (2024)
by: Wang, Maorong, et al.
Published: (2024)
Guided Image Synthesis via Initial Image Editing in Diffusion Model
by: Mao, Jiafeng, et al.
Published: (2023)
by: Mao, Jiafeng, et al.
Published: (2023)
Exploring Palette based Color Guidance in Diffusion Models
by: Qiu, Qianru, et al.
Published: (2025)
by: Qiu, Qianru, et al.
Published: (2025)
Online Open-set Semi-supervised Object Detection with Dual Competing Head
by: Wang, Zerun, et al.
Published: (2023)
by: Wang, Zerun, et al.
Published: (2023)
Mirai: Autoregressive Visual Generation Needs Foresight
by: Yu, Yonghao, et al.
Published: (2026)
by: Yu, Yonghao, et al.
Published: (2026)
MangaDiT: Reference-Guided Line Art Colorization with Hierarchical Attention in Diffusion Transformers
by: Qiu, Qianru, et al.
Published: (2025)
by: Qiu, Qianru, et al.
Published: (2025)
The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven Initialization
by: Mao, Jiafeng, et al.
Published: (2023)
by: Mao, Jiafeng, et al.
Published: (2023)
Face2Diffusion for Fast and Editable Face Personalization
by: Shiohara, Kaede, et al.
Published: (2024)
by: Shiohara, Kaede, et al.
Published: (2024)
ExposeAnyone: Personalized Audio-to-Expression Diffusion Models Are Robust Zero-Shot Face Forgery Detectors
by: Shiohara, Kaede, et al.
Published: (2026)
by: Shiohara, Kaede, et al.
Published: (2026)
Iterative Self-Improvement of Vision Language Models for Image Scoring and Self-Explanation
by: Tanji, Naoto, et al.
Published: (2025)
by: Tanji, Naoto, et al.
Published: (2025)
ControlVP: Interactive Geometric Refinement of AI-Generated Images with Consistent Vanishing Points
by: Okumura, Ryota, et al.
Published: (2025)
by: Okumura, Ryota, et al.
Published: (2025)
Unified Vector Floorplan Generation via Markup Representation
by: Shiohara, Kaede, et al.
Published: (2026)
by: Shiohara, Kaede, et al.
Published: (2026)
CE-FAM: Concept-Based Explanation via Fusion of Activation Maps
by: Kuroki, Michihiro, et al.
Published: (2025)
by: Kuroki, Michihiro, et al.
Published: (2025)
BSED: Baseline Shapley-Based Explainable Detector
by: Kuroki, Michihiro, et al.
Published: (2023)
by: Kuroki, Michihiro, et al.
Published: (2023)
Bias Beyond Demographics: Probing Decision Boundaries in Black-Box LVLMs via Counterfactual VQA
by: Zhao, Zaiying, et al.
Published: (2025)
by: Zhao, Zaiying, et al.
Published: (2025)
Training-Free Sketch-Guided Diffusion with Latent Optimization
by: Ding, Sandra Zhang, et al.
Published: (2024)
by: Ding, Sandra Zhang, et al.
Published: (2024)
Adversarial Training from Mean Field Perspective
by: Kumano, Soichiro, et al.
Published: (2025)
by: Kumano, Soichiro, et al.
Published: (2025)
A Multihead Continual Learning Framework for Fine-Grained Fashion Image Retrieval with Contrastive Learning and Exponential Moving Average Distillation
by: Xiao, Ling, et al.
Published: (2026)
by: Xiao, Ling, et al.
Published: (2026)
Language-guided Detection and Mitigation of Unknown Dataset Bias
by: Zhao, Zaiying, et al.
Published: (2024)
by: Zhao, Zaiying, et al.
Published: (2024)
LORE: Latent Optimization for Precise Semantic Control in Rectified Flow-based Image Editing
by: Ouyang, Liangyang, et al.
Published: (2025)
by: Ouyang, Liangyang, et al.
Published: (2025)
Auto-Comp: An Automated Pipeline for Scalable Compositional Probing of Contrastive Vision-Language Models
by: Sbrolli, Cristian, et al.
Published: (2026)
by: Sbrolli, Cristian, et al.
Published: (2026)
Synthesizing Consistent Novel Views via 3D Epipolar Attention without Re-Training
by: Ye, Botao, et al.
Published: (2025)
by: Ye, Botao, et al.
Published: (2025)
Spectral Probing of Feature Upsamplers in 2D-to-3D Scene Reconstruction
by: Xiao, Ling, et al.
Published: (2026)
by: Xiao, Ling, et al.
Published: (2026)
Data-Driven Prediction of Seismic Intensity Distributions Featuring Hybrid Classification-Regression Models
by: Mizutani, Koyu, et al.
Published: (2024)
by: Mizutani, Koyu, et al.
Published: (2024)
Continual Distillation of Teachers from Different Domains
by: Michel, Nicolas, et al.
Published: (2026)
by: Michel, Nicolas, et al.
Published: (2026)
Language-Guided Self-Supervised Video Summarization Using Text Semantic Matching Considering the Diversity of the Video
by: Sugihara, Tomoya, et al.
Published: (2024)
by: Sugihara, Tomoya, et al.
Published: (2024)
Joint Fusion and Encoding: Advancing Multimodal Retrieval from the Ground Up
by: Huang, Lang, et al.
Published: (2025)
by: Huang, Lang, et al.
Published: (2025)
Theoretical Understanding of Learning from Adversarial Perturbations
by: Kumano, Soichiro, et al.
Published: (2024)
by: Kumano, Soichiro, et al.
Published: (2024)
Wide Two-Layer Networks can Learn from Adversarial Perturbations
by: Kumano, Soichiro, et al.
Published: (2024)
by: Kumano, Soichiro, et al.
Published: (2024)
Adversarially Pretrained Transformers May Be Universally Robust In-Context Learners
by: Kumano, Soichiro, et al.
Published: (2025)
by: Kumano, Soichiro, et al.
Published: (2025)
Denoising Task Difficulty-based Curriculum for Training Diffusion Models
by: Kim, Jin-Young, et al.
Published: (2024)
by: Kim, Jin-Young, et al.
Published: (2024)
Synthesizing Efficient Data with Diffusion Models for Person Re-Identification Pre-Training
by: Niu, Ke, et al.
Published: (2024)
by: Niu, Ke, et al.
Published: (2024)
Attribute-Guided Multi-Level Attention Network for Fine-Grained Fashion Retrieval
by: Xiao, Ling, et al.
Published: (2022)
by: Xiao, Ling, et al.
Published: (2022)
Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion
by: Lee, Junhyeok, et al.
Published: (2025)
by: Lee, Junhyeok, et al.
Published: (2025)
Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling
by: Li, Mingzhuo, et al.
Published: (2025)
by: Li, Mingzhuo, et al.
Published: (2025)
Difficulty-guided Sampling: Bridging the Target Gap between Dataset Distillation and Downstream Tasks
by: Li, Mingzhuo, et al.
Published: (2026)
by: Li, Mingzhuo, et al.
Published: (2026)
PolyGen: Fully Synthetic Vision-Language Training via Multi-Generator Ensembles
by: Brusini, Leonardo, et al.
Published: (2026)
by: Brusini, Leonardo, et al.
Published: (2026)
Similar Items
-
From Obstacles to Resources: Semi-supervised Learning Faces Synthetic Data Contamination
by: Wang, Zerun, et al.
Published: (2024) -
Reward Incremental Learning in Text-to-Image Generation
by: Wang, Maorong, et al.
Published: (2024) -
SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning
by: Wang, Zerun, et al.
Published: (2024) -
Dealing with Synthetic Data Contamination in Online Continual Learning
by: Wang, Maorong, et al.
Published: (2024) -
Guided Image Synthesis via Initial Image Editing in Diffusion Model
by: Mao, Jiafeng, et al.
Published: (2023)