Imagen de Portada

Real Image Denoising with Knowledge Distillation for High-Performance Mobile NPUs

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kayani, Faraz, Kayani, Sarmad, Ahmed, Asad, Timofte, Radu, Ignatov, Dmitry
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial Augmentation?
por: Ignatov, Dmitry, et al.
Publicado: (2024)

From Brute Force to Semantic Insight: Performance-Guided Data Transformation Design with LLMs
por: Shrestha, Usha, et al.
Publicado: (2026)

From Code to Prediction: Fine-Tuning LLMs for Neural Network Performance Classification in NNGPT
por: Hanouneh, Mahmoud, et al.
Publicado: (2026)

From Memorization to Creativity: LLM as a Designer of Novel Neural Architectures
por: Khalid, Waleed, et al.
Publicado: (2026)

Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis
por: Mittal, Yash, et al.
Publicado: (2025)

LLM as a Neural Architect: Controlled Generation of Image Captioning Models Under Strict API Contracts
por: Jesani, Krunal, et al.
Publicado: (2025)

Delta-Based Neural Architecture Search: LLM Fine-Tuning via Code Diffs
por: Adhikari, Santosh Premi, et al.
Publicado: (2026)

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance?
por: Aboudeshish, Nada, et al.
Publicado: (2025)

VIST-GPT: Ushering in the Era of Visual Storytelling with LLMs?
por: Gado, Mohamed, et al.
Publicado: (2025)

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment
por: Kumar, Arun, et al.
Publicado: (2026)

Closed-Loop LLM Discovery of Non-Standard Channel Priors in Vision Models
por: Uzun, Tolgay Atinc, et al.
Publicado: (2026)

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks
por: Khalid, Waleed, et al.
Publicado: (2025)

InstructIR: High-Quality Image Restoration Following Human Instructions
por: Conde, Marcos V., et al.
Publicado: (2024)

Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation
por: Hondru, Vlad, et al.
Publicado: (2023)

Learning Transformer-based World Models with Contrastive Predictive Coding
por: Burchi, Maxime, et al.
Publicado: (2025)

Accurate and Efficient World Modeling with Masked Latent Transformers
por: Burchi, Maxime, et al.
Publicado: (2025)

Simple Image Signal Processing using Global Context Guidance
por: Elezabi, Omar, et al.
Publicado: (2024)

Enhancing LLM-Based Neural Network Generation: Few-Shot Prompting and Efficient Validation for Automated Architecture Design
por: Duvvuri, Raghuvir, et al.
Publicado: (2025)

Regularized Distribution Matching Distillation for One-step Unpaired Image-to-Image Translation
por: Rakitin, Denis, et al.
Publicado: (2024)

AIM 2025 Challenge on Real-World RAW Image Denoising
por: Li, Feiran, et al.
Publicado: (2025)

Masked and Shuffled Blind Spot Denoising for Real-World Images
por: Chihaoui, Hamadi, et al.
Publicado: (2024)

Dataset Distillers Are Good Label Denoisers In the Wild
por: Cheng, Lechao, et al.
Publicado: (2024)

CTSR: Controllable Fidelity-Realness Trade-off Distillation for Real-World Image Super Resolution
por: Li, Runyi, et al.
Publicado: (2025)

Scaling Graph Convolutions for Mobile Vision
por: Avery, William, et al.
Publicado: (2024)

DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer
por: Huang, Haiduo, et al.
Publicado: (2025)

Pixel Distillation: A New Knowledge Distillation Scheme for Low-Resolution Image Recognition
por: Guo, Guangyu, et al.
Publicado: (2021)

Stereo Risk: A Continuous Modeling Approach to Stereo Matching
por: Liu, Ce, et al.
Publicado: (2024)

Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image Datasets
por: Iordache, Adrian, et al.
Publicado: (2024)

Diverse Image Priors for Black-box Data-free Knowledge Distillation
por: Vo, Tri-Nhan, et al.
Publicado: (2026)

Uncertainty-Aware Dual-Student Knowledge Distillation for Efficient Image Classification
por: Gore, Aakash, et al.
Publicado: (2025)

Rawformer: Unpaired Raw-to-Raw Translation for Learnable Camera ISPs
por: Perevozchikov, Georgy, et al.
Publicado: (2024)

Distilling the Knowledge in Data Pruning
por: Ben-Baruch, Emanuel, et al.
Publicado: (2024)

Crossmodal Knowledge Distillation with WordNet-Relaxed Text Embeddings for Robust Image Classification
por: Guo, Chenqi, et al.
Publicado: (2025)

A Simple Combination of Diffusion Models for Better Quality Trade-Offs in Image Denoising
por: Dornbusch, Jonas, et al.
Publicado: (2025)

Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
por: Zhang, Qifan, et al.
Publicado: (2024)

Denoised Diffusion for Object-Focused Image Augmentation
por: Pillai, Nisha
Publicado: (2025)

Enhancing Weakly-Supervised Histopathology Image Segmentation with Knowledge Distillation on MIL-Based Pseudo-Labels
por: He, Yinsheng, et al.
Publicado: (2024)

Inverse Bridge Matching Distillation
por: Gushchin, Nikita, et al.
Publicado: (2025)

A Real Benchmark Swell Noise Dataset for Performing Seismic Data Denoising via Deep Learning
por: Barros, Pablo M., et al.
Publicado: (2024)

Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation
por: Chen, Tianyu, et al.
Publicado: (2025)