Conceptio › Archive › arXiv (OAI Expanded)
arXiv (OAI Expanded) open access

VideoTok4D: A 4D-Aware Video Tokenizer for Compact World Representation

Chen, Xinyi et al.
arXiv (OAI Expanded) · Papers
Open Source ↗Direct PDF ↓
computer-vision-and-pattern-recognition
Video tokenizers have emerged as a cornerstone of modern video modeling, underpinning progress in compression, reconstruction and generation by mapping high-dimensional visual signals into compact latent spaces. However, despite this progress, current tokenization paradigms largely remain within the
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

Record · ID 1070327
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