arXiv (All)
open access
A Unified Rate-Distortion Perspective on Vector, Product, and Scalar Quantization
Discrete visual tokenization, predominantly driven by vector, scalar, and product quantization, lacks a unified conceptual framework for understanding quantization tradeoffs. In this paper, we propose a unified rate--distortion perspective on modern discrete visual tokenization. By viewing quantizat
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- CoVisco: Codec-Native Vision Encoder with Native Token Compression for Unified Image-Video Understanding#1145091
- SPHQuant: Efficient extreme low bit weight quantization for Vision-Language Models#1051273
- Large-Scale Data Parallelization of Product Quantization and Inverted Indexing Using Dask#126526
- Rate control optimization in embedded wavelet coding#251598
- FastKron: Efficient Quantization with Kronecker-Factored Hessians#1117546
Record · ID 822509
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive