SJD-SV: Speculative Jacobi Decoding with Semantics Verification for Autoregressive Image Generation
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arXiv:2609.13245v1 Announce Type: new Abstract: Speculative Jacobi Decoding (SJD) is an important approach for accelerating autoregressive image generation. Although SJD has shown superior performance, recent studies point out that it usually suffers from a token ambiguity issue during token verifi…
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- 2026-09-15 04:00 · arXiv cs.CV
SJD-SV: Speculative Jacobi Decoding with Semantics Verification for Autoregressive Image Generation