VP-VAE: Rethinking Vector Quantization via Adaptive Vector Perturbation | ScienceToStartup | ScienceToStartup

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References (41)

[1]

Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation

2025Yuqing Wang, Zhijie Lin et al.

[2]

One Quantizer is Enough: Toward a Lightweight Audio Codec

2025Linwei Zhai, Han Ding et al.

[3]

Scaling Transformers for Low-Bitrate High-Quality Speech Coding

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"Develop a more stable and robust generative model for VQ-VAE with adaptive vector perturbation eliminating the need for a codebook."

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VP-VAE: Rethinking Vector Quantization via Adaptive Vector Perturbation

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References (41)

Founder's Pitch

"Develop a more stable and robust generative model for VQ-VAE with adaptive vector perturbation eliminating the need for a codebook."

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VP-VAE: Rethinking Vector Quantization via Adaptive Vector Perturbation

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References (41)

Founder's Pitch

"Develop a more stable and robust generative model for VQ-VAE with adaptive vector perturbation eliminating the need for a codebook."

Commercial Viability Breakdown

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