Saved in:
| Main Authors: | Zheng, Hong-Kai, Li, Piji |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.13331 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LSRS: Latent Scale Rejection Sampling for Visual Autoregressive Modeling
by: Zheng, Hong-Kai, et al.
Published: (2025)
by: Zheng, Hong-Kai, et al.
Published: (2025)
LooC: Effective Low-Dimensional Codebook for Compositional Vector Quantization
by: Li, Jie, et al.
Published: (2026)
by: Li, Jie, et al.
Published: (2026)
Codebook Transfer with Part-of-Speech for Vector-Quantized Image Modeling
by: Zhang, Baoquan, et al.
Published: (2024)
by: Zhang, Baoquan, et al.
Published: (2024)
Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization
by: Chang, Yifan, et al.
Published: (2025)
by: Chang, Yifan, et al.
Published: (2025)
Beyond Stationarity: Rethinking Codebook Collapse in Vector Quantization
by: Lu, Hao, et al.
Published: (2026)
by: Lu, Hao, et al.
Published: (2026)
All-in-One Medical Image Restoration with Latent Diffusion-Enhanced Vector-Quantized Codebook Prior
by: Chen, Haowei, et al.
Published: (2025)
by: Chen, Haowei, et al.
Published: (2025)
Rate-Adaptive Quantization: A Multi-Rate Codebook Adaptation for Vector Quantization-based Generative Models
by: Seo, Jiwan, et al.
Published: (2024)
by: Seo, Jiwan, et al.
Published: (2024)
Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection
by: Cheng, Qisen, et al.
Published: (2025)
by: Cheng, Qisen, et al.
Published: (2025)
Switchable Token-Specific Codebook Quantization For Face Image Compression
by: Wang, Yongbo, et al.
Published: (2025)
by: Wang, Yongbo, et al.
Published: (2025)
Vector Contrastive Learning For Pixel-Wise Pretraining In Medical Vision
by: He, Yuting, et al.
Published: (2025)
by: He, Yuting, et al.
Published: (2025)
SSVQ: Unleashing the Potential of Vector Quantization with Sign-Splitting
by: Li, Shuaiting, et al.
Published: (2025)
by: Li, Shuaiting, et al.
Published: (2025)
PCA-VAE: Differentiable Subspace Quantization without Codebook Collapse
by: Lu, Hao, et al.
Published: (2026)
by: Lu, Hao, et al.
Published: (2026)
Autoregressive Image Generation without Vector Quantization
by: Li, Tianhong, et al.
Published: (2024)
by: Li, Tianhong, et al.
Published: (2024)
ViM-VQ: Efficient Post-Training Vector Quantization for Visual Mamba
by: Deng, Juncan, et al.
Published: (2025)
by: Deng, Juncan, et al.
Published: (2025)
Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression
by: Jiang, Shiyin, et al.
Published: (2026)
by: Jiang, Shiyin, et al.
Published: (2026)
Taming the Entropy Cliff: Variable Codebook Size Quantization for Autoregressive Visual Generation
by: Zheng, Bowen, et al.
Published: (2026)
by: Zheng, Bowen, et al.
Published: (2026)
Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales
by: Pan, Shuokai, et al.
Published: (2024)
by: Pan, Shuokai, et al.
Published: (2024)
HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty Decoding
by: Yuan, Fan, et al.
Published: (2024)
by: Yuan, Fan, et al.
Published: (2024)
DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization
by: Wu, Qiuxia, et al.
Published: (2025)
by: Wu, Qiuxia, et al.
Published: (2025)
Vector-Quantized Vision Foundation Models for Object-Centric Learning
by: Zhao, Rongzhen, et al.
Published: (2025)
by: Zhao, Rongzhen, et al.
Published: (2025)
Vector Quantization Prompting for Continual Learning
by: Jiao, Li, et al.
Published: (2024)
by: Jiao, Li, et al.
Published: (2024)
TLC-Plan: A Two-Level Codebook Based Network for End-to-End Vector Floorplan Generation
by: Xiong, Biao, et al.
Published: (2026)
by: Xiong, Biao, et al.
Published: (2026)
Dual Codebook VQ: Enhanced Image Reconstruction with Reduced Codebook Size
by: Malidarreh, Parisa Boodaghi, et al.
Published: (2025)
by: Malidarreh, Parisa Boodaghi, et al.
Published: (2025)
Channel-wise Vector Quantization
by: Song, Wei, et al.
Published: (2026)
by: Song, Wei, et al.
Published: (2026)
Masked Vector Quantization
by: Nguyen, David D., et al.
Published: (2023)
by: Nguyen, David D., et al.
Published: (2023)
Conceptual Codebook Learning for Vision-Language Models
by: Zhang, Yi, et al.
Published: (2024)
by: Zhang, Yi, et al.
Published: (2024)
Making Pose Representations More Expressive and Disentangled via Residual Vector Quantization
by: Jeong, Sukhyun, et al.
Published: (2025)
by: Jeong, Sukhyun, et al.
Published: (2025)
Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization
by: Egiazarian, Vage, et al.
Published: (2024)
by: Egiazarian, Vage, et al.
Published: (2024)
Autoregressive Video Generation without Vector Quantization
by: Deng, Haoge, et al.
Published: (2024)
by: Deng, Haoge, et al.
Published: (2024)
Hierarchical Vector Quantization for Unsupervised Action Segmentation
by: Spurio, Federico, et al.
Published: (2024)
by: Spurio, Federico, et al.
Published: (2024)
Post-Training Quantization for Diffusion Transformer via Hierarchical Timestep Grouping
by: Ding, Ning, et al.
Published: (2025)
by: Ding, Ning, et al.
Published: (2025)
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions
by: Liu, Kai, et al.
Published: (2024)
by: Liu, Kai, et al.
Published: (2024)
T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text
by: Yin, Aoxiong, et al.
Published: (2024)
by: Yin, Aoxiong, et al.
Published: (2024)
Preventing Local Pitfalls in Vector Quantization via Optimal Transport
by: Zhang, Borui, et al.
Published: (2024)
by: Zhang, Borui, et al.
Published: (2024)
AnoRefiner: Anomaly-Aware Group-Wise Refinement for Zero-Shot Industrial Anomaly Detection
by: Huang, Dayou, et al.
Published: (2025)
by: Huang, Dayou, et al.
Published: (2025)
PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling
by: Li, Abiao, et al.
Published: (2025)
by: Li, Abiao, et al.
Published: (2025)
Vector Grimoire: Codebook-based Shape Generation under Raster Image Supervision
by: Feuerpfeil, Moritz, et al.
Published: (2024)
by: Feuerpfeil, Moritz, et al.
Published: (2024)
CodeBind: Decoupled Representation Learning for Multimodal Alignment with Unified Compositional Codebook
by: Chen, Zeyu, et al.
Published: (2026)
by: Chen, Zeyu, et al.
Published: (2026)
Training-Free Vector Quantization via Gaussian VAEs
by: Xu, Tongda, et al.
Published: (2025)
by: Xu, Tongda, et al.
Published: (2025)
Weight Group-wise Post-Training Quantization for Medical Foundation Model
by: Chen, Yineng, et al.
Published: (2026)
by: Chen, Yineng, et al.
Published: (2026)
Similar Items
-
LSRS: Latent Scale Rejection Sampling for Visual Autoregressive Modeling
by: Zheng, Hong-Kai, et al.
Published: (2025) -
LooC: Effective Low-Dimensional Codebook for Compositional Vector Quantization
by: Li, Jie, et al.
Published: (2026) -
Codebook Transfer with Part-of-Speech for Vector-Quantized Image Modeling
by: Zhang, Baoquan, et al.
Published: (2024) -
Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization
by: Chang, Yifan, et al.
Published: (2025) -
Beyond Stationarity: Rethinking Codebook Collapse in Vector Quantization
by: Lu, Hao, et al.
Published: (2026)