2025 "vector quantization" Papers
15 papers found
Addressing Representation Collapse in Vector Quantized Models with One Linear Layer
Yongxin Zhu, Bocheng Li, Yifei Xin et al.
ICCV 2025posterarXiv:2411.02038
44
citations
Harmonizing Visual Representations for Unified Multimodal Understanding and Generation
Size Wu, Wenwei Zhang, Lumin Xu et al.
ICCV 2025posterarXiv:2503.21979
37
citations
Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression
Xi Zhang, Xiaolin Wu, Jiamang Wang et al.
NEURIPS 2025posterarXiv:2510.20984
MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization
Siyuan Li, Luyuan Zhang, Zedong Wang et al.
CVPR 2025posterarXiv:2504.00999
6
citations
MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning
Hongjia Liu, Rongzhen Zhao, Haohan Chen et al.
NEURIPS 2025posterarXiv:2505.20772
2
citations
Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning
Yuankai Luo, Hongkang Li, Qijiong Liu et al.
ICLR 2025posterarXiv:2405.16435
11
citations
Optimized Minimal 3D Gaussian Splatting
Joo Chan Lee, Jong Hwan Ko, Eunbyung Park
NEURIPS 2025posterarXiv:2503.16924
3
citations
PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization
Honglin Li, Zhongyi Shui, Yunlong Zhang et al.
NEURIPS 2025posterarXiv:2503.06482
Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks
Théophane Vallaeys, Matthew J Muckley, Jakob Verbeek et al.
ICLR 2025posterarXiv:2501.03078
3
citations
Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression
Zichong Meng, Yiming Xie, Xiaogang Peng et al.
CVPR 2025posterarXiv:2411.16575
36
citations
RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models
Zukang Xu, Xing Hu, Qiang Wu et al.
NEURIPS 2025posterarXiv:2510.01240
TaDiCodec: Text-aware Diffusion Speech Tokenizer for Speech Language Modeling
Yuancheng Wang, Dekun Chen, Xueyao Zhang et al.
NEURIPS 2025posterarXiv:2508.16790
5
citations
ViM-VQ: Efficient Post-Training Vector Quantization for Visual Mamba
Juncan Deng, Shuaiting Li, Zeyu Wang et al.
ICCV 2025posterarXiv:2503.09509
VQToken: Neural Discrete Token Representation Learning for Extreme Token Reduction in Video Large Language Models
Haichao Zhang, Yun Fu
NEURIPS 2025oralarXiv:2503.16980
3
citations
WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling
Shengpeng Ji, Ziyue Jiang, Wen Wang et al.
ICLR 2025oralarXiv:2408.16532
125
citations