:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lu, Hao, Koyun, Onur C., Guo, Yongxin, Zhu, Zhengjie, Alili, Abbas, Gurcan, Metin Nafi
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	https://arxiv.org/abs/2602.18896
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

PCA-VAE: Differentiable Subspace Quantization without Codebook Collapse
par: Lu, Hao, et autres
Publié: (2026)

Momentum Memory for Knowledge Distillation in Computational Pathology
par: Guo, Yongxin, et autres
Publié: (2026)

Hyperparameter Optimization and Reproducibility in Deep Learning Model Training
par: Afzaal, Usman, et autres
Publié: (2025)

Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization
par: Chang, Yifan, et autres
Publié: (2025)

Addressing Representation Collapse in Vector Quantized Models with One Linear Layer
par: Zhu, Yongxin, et autres
Publié: (2024)

Codebook Transfer with Part-of-Speech for Vector-Quantized Image Modeling
par: Zhang, Baoquan, et autres
Publié: (2024)

Group-Wise Optimization for Self-Extensible Codebooks in Vector Quantized Models
par: Zheng, Hong-Kai, et autres
Publié: (2025)

LooC: Effective Low-Dimensional Codebook for Compositional Vector Quantization
par: Li, Jie, et autres
Publié: (2026)

All-in-One Medical Image Restoration with Latent Diffusion-Enhanced Vector-Quantized Codebook Prior
par: Chen, Haowei, et autres
Publié: (2025)

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection
par: Cheng, Qisen, et autres
Publié: (2025)

Rate-Adaptive Quantization: A Multi-Rate Codebook Adaptation for Vector Quantization-based Generative Models
par: Seo, Jiwan, et autres
Publié: (2024)

Switchable Token-Specific Codebook Quantization For Face Image Compression
par: Wang, Yongbo, et autres
Publié: (2025)

BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook
par: Gu, Hao, et autres
Publié: (2025)

ProGIC: Progressive and Lightweight Generative Image Compression with Residual Vector Quantization
par: Cao, Hao, et autres
Publié: (2026)

EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders
par: Baykal, Gulcin, et autres
Publié: (2023)

Prompt-Guided Adaptive Model Transformation for Whole Slide Image Classification
par: Lin, Yi, et autres
Publié: (2024)

Autoregressive Video Generation without Vector Quantization
par: Deng, Haoge, et autres
Publié: (2024)

Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%
par: Zhu, Lei, et autres
Publié: (2024)

Temporal Realism Evaluation of Generated Videos Using Compressed-Domain Motion Vectors
par: Cakiroglu, Mert Onur, et autres
Publié: (2025)

DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization
par: Wu, Qiuxia, et autres
Publié: (2025)

Improving 3D Gaussian Splatting Compression by Scene-Adaptive Lattice Vector Quantization
par: Xu, Hao, et autres
Publié: (2025)

TLC-Plan: A Two-Level Codebook Based Network for End-to-End Vector Floorplan Generation
par: Xiong, Biao, et autres
Publié: (2026)

Dual Codebook VQ: Enhanced Image Reconstruction with Reduced Codebook Size
par: Malidarreh, Parisa Boodaghi, et autres
Publié: (2025)

Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression
par: Jiang, Shiyin, et autres
Publié: (2026)

Masked Vector Quantization
par: Nguyen, David D., et autres
Publié: (2023)

VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image Segmentation
par: Yang, Sicheng, et autres
Publié: (2026)

DicFace: Dirichlet-Constrained Variational Codebook Learning for Temporally Coherent Video Face Restoration
par: Chen, Yan, et autres
Publié: (2025)

Rethinking Vector Field Learning for Generative Segmentation
par: Wang, Chaoyang, et autres
Publié: (2026)

Autoregressive Image Generation without Vector Quantization
par: Li, Tianhong, et autres
Publié: (2024)

Hierarchical Vector Quantization for Unsupervised Action Segmentation
par: Spurio, Federico, et autres
Publié: (2024)

VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers
par: Wang, Yating, et autres
Publié: (2025)

Beyond Mask: Rethinking Guidance Types in Few-shot Segmentation
par: Chang, Shijie, et autres
Publié: (2024)

Enhancing Vector Quantization with Distributional Matching: A Theoretical and Empirical Study
par: Fang, Xianghong, et autres
Publié: (2025)

Preventing Local Pitfalls in Vector Quantization via Optimal Transport
par: Zhang, Borui, et autres
Publié: (2024)

Channel-wise Vector Quantization
par: Song, Wei, et autres
Publié: (2026)

Vector Grimoire: Codebook-based Shape Generation under Raster Image Supervision
par: Feuerpfeil, Moritz, et autres
Publié: (2024)

Lightweight Road Environment Segmentation using Vector Quantization
par: Kwag, Jiyong, et autres
Publié: (2025)

SSVQ: Unleashing the Potential of Vector Quantization with Sign-Splitting
par: Li, Shuaiting, et autres
Publié: (2025)

Vector-Quantized Soft Label Compression for Dataset Distillation
par: Abbasi, Ali, et autres
Publié: (2026)

Rethinking Practical and Efficient Quantization Calibration for Vision-Language Models
par: Shang, Zhenhao, et autres
Publié: (2026)