Factorized vector quantization matches continuous visual tokens on understanding
The discrete model beats UniAR and Emu3-Chat by 22.8% and 59.2% on a nine-metric average.
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Stories tagged #vector-quantization
ProtoFlow: Prototype-Guided Flow Matching for Multivariate Time Series Forecasting
ProtoFlow forecasts multivariate time series by flow-matching from learned vector-quantization prototypes instead of Gaussian noise.
StableVQ: Practical Guidelines for Stable Vector-Quantized Tokenizer Training
StableVQ provides practical guidelines for stable Vector-Quantized tokenizer training, addressing instability between encoder and codebook optimization.
QUALS: Corpus Equilibrium for Universal Forecasting via Pattern Quantization and Learnability Synchronization
QUALS improves zero-shot time-series foundation model training via pattern quantization and learnability synchronization, achieving better accuracy with a fraction of the data.
Kraken: LLM-based Speech-to-Speech Translation via Low-bitrate VQ and Dual-path Source Conditioning
Kraken speech-to-speech translation model builds on Qwen3-8B with low-bitrate vector quantization and source-conditioned vocoding.