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Can Discrete Tokens Serve as Semantically Lossless Representations of Visual Signals?

Paper recorded by Signals 4 on 2026-10-27 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-27 on arXiv · recorded by Signals 4 on 2026-10-28

Category: cs.CV · 计算机视觉 · first seen 2026-10-28

Abstract

Discrete visual tokens represent vision in a discrete form analogous to language, offering a native interface for multimodal modeling under a shared next-token prediction objective. However, quantization error is widely assumed to cause unavoidable semantic loss, fundamentally limiting the semantic fidelity of discrete visual tokens and positioning continuous visual representations as an intrinsic

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#82 most recent of 710 cs.CV papers we have recorded · ↑ newer: Aligning Medical Vision Language Models at the Capability Boundary wit · ↓ older: Repurposing Video Diffusion Transformers for Cross-View Temporal Objec
Cite this page: Can Discrete Tokens Serve as Semantically Lossless Representations of Visual Signals?: the #82 most recent of 710 cs.CV papers we have recorded (as of 2026-10-27). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/can-discrete-tokens-serve-as-semantically-lossless-representations-of-visual-sig.html
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