:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	He, Xuewan, Wang, Jielei, Cheng, Zihan, Su, Yuchen, Huang, Shiyue, Lu, Guoming
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	https://arxiv.org/abs/2509.16897
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Rethinking SAR ATR: A Target-Aware Frequency-Spatial Enhancement Framework with Noise-Resilient Knowledge Guidance
por: Lin, Yansong, et al.
Publicado: (2026)

EDITS: Enhancing Dataset Distillation with Implicit Textual Semantics
por: Xia, Qianxin, et al.
Publicado: (2025)

Efficient Dataset Distillation for Pre-Trained Self-Supervised Models via Statistical Flow Matching
por: Xia, Qianxin, et al.
Publicado: (2026)

Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation
por: Li, Muquan, et al.
Publicado: (2024)

FreeKD: Knowledge Distillation via Semantic Frequency Prompt
por: Zhang, Yuan, et al.
Publicado: (2023)

PRISM: Probabilistic Representation for Integrated Shape Modeling and Generation
por: Cheng, Lei, et al.
Publicado: (2025)

Hybrid Data-Free Knowledge Distillation
por: Tang, Jialiang, et al.
Publicado: (2024)

Large-Scale Data-Free Knowledge Distillation for ImageNet via Multi-Resolution Data Generation
por: Tran, Minh-Tuan, et al.
Publicado: (2024)

Precision or Recall? An Analysis of Image Captions for Training Text-to-Image Generation Model
por: Cheng, Sheng, et al.
Publicado: (2024)

Small Scale Data-Free Knowledge Distillation
por: Liu, He, et al.
Publicado: (2024)

Data-free Knowledge Distillation with Diffusion Models
por: Qi, Xiaohua, et al.
Publicado: (2025)

PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable Diffusion
por: Kumar, Amar, et al.
Publicado: (2025)

Adding Thermal Awareness to Visual Systems in Real-Time via Distilled Diffusion Models
por: Guo, Yuchen, et al.
Publicado: (2026)

DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization
por: Ding, Zihan, et al.
Publicado: (2024)

DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
por: Xiang, Qianlong, et al.
Publicado: (2024)

Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models
por: Park, Dogyun, et al.
Publicado: (2023)

AlignVAR: Towards Globally Consistent Visual Autoregression for Image Super-Resolution
por: Liu, Cencen, et al.
Publicado: (2026)

MX-Font++: Mixture of Heterogeneous Aggregation Experts for Few-shot Font Generation
por: Wang, Weihang, et al.
Publicado: (2025)

Forward-Backward Knowledge Distillation for Continual Clustering
por: Sadeghi, Mohammadreza, et al.
Publicado: (2024)

Exploring Data-Free LoRA Transferability for Video Diffusion Models
por: Wang, Yuchen, et al.
Publicado: (2026)

ArcFlow: Unleashing 2-Step Text-to-Image Generation via High-Precision Non-Linear Flow Distillation
por: Yang, Zihan, et al.
Publicado: (2026)

CONCORD: Concept-Informed Diffusion for Dataset Distillation
por: Gu, Jianyang, et al.
Publicado: (2025)

Conditional Pseudo-Supervised Contrast for Data-Free Knowledge Distillation
por: Shao, Renrong, et al.
Publicado: (2025)

EchoDFKD: Data-Free Knowledge Distillation for Cardiac Ultrasound Segmentation using Synthetic Data
por: Petit, Grégoire, et al.
Publicado: (2024)

Noise-Informed Diffusion-Generated Image Detection with Anomaly Attention
por: Guan, Weinan, et al.
Publicado: (2025)

PRISM: Diversifying Dataset Distillation by Decoupling Architectural Priors
por: Moser, Brian B., et al.
Publicado: (2025)

PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image Generation
por: Ma, Jian, et al.
Publicado: (2023)

GarmentAligner: Text-to-Garment Generation via Retrieval-augmented Multi-level Corrections
por: Zhang, Shiyue, et al.
Publicado: (2024)

PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selection
por: Bi, Jinhe, et al.
Publicado: (2025)

Degradation-Aware Adaptive Context Gating for Unified Image Restoration
por: He, Lei, et al.
Publicado: (2026)

Local Dense Logit Relations for Enhanced Knowledge Distillation
por: Xu, Liuchi, et al.
Publicado: (2025)

QAL: A Loss for Recall Precision Balance in 3D Reconstruction
por: Meshram, Pranay, et al.
Publicado: (2025)

Relational Diffusion Distillation for Efficient Image Generation
por: Feng, Weilun, et al.
Publicado: (2024)

KGEdit: Ambiguity-Aware Knowledge Graphs for Training-Free Precise Video Generation and Editing
por: Cai, Mingshu, et al.
Publicado: (2026)

Teacher-Guided Student Self-Knowledge Distillation Using Diffusion Model
por: Wang, Yu, et al.
Publicado: (2026)

D$^4$M: Dataset Distillation via Disentangled Diffusion Model
por: Su, Duo, et al.
Publicado: (2024)

Improving Neural ODEs via Knowledge Distillation
por: Chu, Haoyu, et al.
Publicado: (2022)

NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation
por: Tran, Minh-Tuan, et al.
Publicado: (2023)

Understanding Generalization in Diffusion Distillation via Probability Flow Distance
por: Zhang, Huijie, et al.
Publicado: (2025)

Asymmetric Decision-Making in Online Knowledge Distillation:Unifying Consensus and Divergence
por: Chen, Zhaowei, et al.
Publicado: (2025)