Copertina

Codebook Transfer with Part-of-Speech for Vector-Quantized Image Modeling

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Baoquan, Wang, Huaibin, Chuyao, Luo, Li, Xutao, Guotao, Liang, Ye, Yunming, Qi, Xiaochen, He, Yao
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LG-VQ: Language-Guided Codebook Learning
di: Liang, Guotao, et al.
Pubblicazione: (2024)

Towards Improved Text-Aligned Codebook Learning: Multi-Hierarchical Codebook-Text Alignment with Long Text
di: Liang, Guotao, et al.
Pubblicazione: (2025)

Head-Aware Key-Value Compression for Efficient Autoregressive Image Generation
di: Liang, Guotao, et al.
Pubblicazione: (2026)

MCSDNet: Mesoscale Convective System Detection Network via Multi-scale Spatiotemporal Information
di: Liang, Jiajun, et al.
Pubblicazione: (2024)

SJD-VP: Speculative Jacobi Decoding with Verification Prediction for Autoregressive Image Generation
di: Shan, Bingqi, et al.
Pubblicazione: (2026)

Improved Masked Image Generation with Knowledge-Augmented Token Representations
di: Liang, Guotao, et al.
Pubblicazione: (2025)

AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image Inpainting
di: Han, Zihao, et al.
Pubblicazione: (2024)

DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting
di: Yu, Demin, et al.
Pubblicazione: (2023)

SJD-PV: Speculative Jacobi Decoding with Phrase Verification for Autoregressive Image Generation
di: Yu, Zhehao, et al.
Pubblicazione: (2026)

HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
di: Lin, Huiwei, et al.
Pubblicazione: (2023)

Prototype Optimization with Neural ODE for Few-Shot Learning
di: Zhang, Baoquan, et al.
Pubblicazione: (2024)

Beyond Stationarity: Rethinking Codebook Collapse in Vector Quantization
di: Lu, Hao, et al.
Pubblicazione: (2026)

Group-Wise Optimization for Self-Extensible Codebooks in Vector Quantized Models
di: Zheng, Hong-Kai, et al.
Pubblicazione: (2025)

All-in-One Medical Image Restoration with Latent Diffusion-Enhanced Vector-Quantized Codebook Prior
di: Chen, Haowei, et al.
Pubblicazione: (2025)

Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization
di: Chang, Yifan, et al.
Pubblicazione: (2025)

LooC: Effective Low-Dimensional Codebook for Compositional Vector Quantization
di: Li, Jie, et al.
Pubblicazione: (2026)

S2FT: Parameter-Efficient Fine-Tuning in Sparse Spectrum Domain
di: Zhang, Baoquan, et al.
Pubblicazione: (2026)

StyleMark: A Robust Watermarking Method for Art Style Images Against Black-Box Arbitrary Style Transfer
di: Zhang, Yunming, et al.
Pubblicazione: (2024)

Switchable Token-Specific Codebook Quantization For Face Image Compression
di: Wang, Yongbo, et al.
Pubblicazione: (2025)

AmodalSVG: Amodal Image Vectorization via Semantic Layer Peeling
di: Hu, Juncheng, et al.
Pubblicazione: (2026)

Autoregressive Image Generation without Vector Quantization
di: Li, Tianhong, et al.
Pubblicazione: (2024)

Rate-Adaptive Quantization: A Multi-Rate Codebook Adaptation for Vector Quantization-based Generative Models
di: Seo, Jiwan, et al.
Pubblicazione: (2024)

Empowering LLMs to Understand and Generate Complex Vector Graphics
di: Xing, Ximing, et al.
Pubblicazione: (2024)

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection
di: Cheng, Qisen, et al.
Pubblicazione: (2025)

Trinity Detector:text-assisted and attention mechanisms based spectral fusion for diffusion generation image detection
di: Song, Jiawei, et al.
Pubblicazione: (2024)

Conceptual Codebook Learning for Vision-Language Models
di: Zhang, Yi, et al.
Pubblicazione: (2024)

Exploiting Discriminative Codebook Prior for Autoregressive Image Generation
di: Tang, Longxiang, et al.
Pubblicazione: (2025)

Autoregressive Video Generation without Vector Quantization
di: Deng, Haoge, et al.
Pubblicazione: (2024)

Dual Codebook VQ: Enhanced Image Reconstruction with Reduced Codebook Size
di: Malidarreh, Parisa Boodaghi, et al.
Pubblicazione: (2025)

VAnim: Rendering-Aware Sparse State Modeling for Structure-Preserving Vector Animation
di: Liang, Guotao, et al.
Pubblicazione: (2026)

ProGIC: Progressive and Lightweight Generative Image Compression with Residual Vector Quantization
di: Cao, Hao, et al.
Pubblicazione: (2026)

CIVQLLIE: Causal Intervention with Vector Quantization for Low-Light Image Enhancement
di: Zhang, Tongshun, et al.
Pubblicazione: (2025)

Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization
di: Egiazarian, Vage, et al.
Pubblicazione: (2024)

MAG: Multi-Modal Aligned Autoregressive Co-Speech Gesture Generation without Vector Quantization
di: Liu, Binjie, et al.
Pubblicazione: (2025)

Taming the Entropy Cliff: Variable Codebook Size Quantization for Autoregressive Visual Generation
di: Zheng, Bowen, et al.
Pubblicazione: (2026)

Render-in-the-Loop: Vector Graphics Generation via Visual Self-Feedback
di: Liang, Guotao, et al.
Pubblicazione: (2026)

Decomposed Vector-Quantized Variational Autoencoder for Human Grasp Generation
di: Zhao, Zhe, et al.
Pubblicazione: (2024)

Vector Grimoire: Codebook-based Shape Generation under Raster Image Supervision
di: Feuerpfeil, Moritz, et al.
Pubblicazione: (2024)

Multiscale Vector-Quantized Variational Autoencoder for Endoscopic Image Synthesis
di: Diamantis, Dimitrios E., et al.
Pubblicazione: (2025)

PCA-VAE: Differentiable Subspace Quantization without Codebook Collapse
di: Lu, Hao, et al.
Pubblicazione: (2026)