"vector quantization" Papers
20 papers found
Addressing Representation Collapse in Vector Quantized Models with One Linear Layer
Yongxin Zhu, Bocheng Li, Yifei Xin et al.
MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization
Siyuan Li, Luyuan Zhang, Zedong Wang et al.
Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning
Yuankai Luo, Hongkang Li, Qijiong Liu et al.
Optimized Minimal 3D Gaussian Splatting
Joo Chan Lee, Jong Hwan Ko, Eunbyung Park
PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization
Honglin Li, Zhongyi Shui, Yunlong Zhang et al.
Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks
Théophane Vallaeys, Matthew J Muckley, Jakob Verbeek et al.
Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression
Zichong Meng, Yiming Xie, Xiaogang Peng et al.
RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models
Zukang Xu, Xing Hu, Qiang Wu et al.
ViM-VQ: Efficient Post-Training Vector Quantization for Visual Mamba
Juncan Deng, Shuaiting Li, Zeyu Wang et al.
VQToken: Neural Discrete Token Representation Learning for Extreme Token Reduction in Video Large Language Models
Haichao Zhang, Yun Fu
WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling
Shengpeng Ji, Ziyue Jiang, Wen Wang et al.
Behavior Generation with Latent Actions
Seungjae Lee, Yibin Wang, Haritheja Etukuru et al.
CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization
K L Navaneet, Kossar Pourahmadi, Soroush Abbasi Koohpayegani et al.
G2P-DDM: Generating Sign Pose Sequence from Gloss Sequence with Discrete Diffusion Model
Pan Xie, Qipeng Zhang, Peng Taiying et al.
QuIP$\#$: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
Albert Tseng, Jerry Chee, Qingyao Sun et al.
Residual Quantization with Implicit Neural Codebooks
Iris Huijben, Matthijs Douze, Matthew Muckley et al.
Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces
Fang Wu, Stan Z Li
Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment
Haokun Gui, Xiucheng Li, Xinyang Chen
VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling
Siyuan Li, Zedong Wang, Zicheng Liu et al.
VQ-HPS: Human Pose and Shape Estimation in a Vector-Quantized Latent Space
Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda et al.