Logit Refiner: Improving Visual Autoregressive Models via Intra-Scale Dependency Modeling
Updated 49 min ago · first seen 11 Sept 2026
paper_01M294FRFK51XESPJB3ZT7DAKM
- Published
- 11 Sept 2026
- T1 · 50 min ago
- arXiv
- 2609.11804
- T1 · 50 min ago
- Category
- cs.CV
- T1 · 50 min ago
Abstract
Visual Autoregressive Models (VAR) generate images through next-scale prediction, producing all tokens within each scale in parallel. We show that this parallel decoding constitutes a mean-field-style approximation that discards spatial dependencies among same-scale tokens, causing locally incoherent samples regardless of backbone capacity -- a limitation of the decoding rule. Addressing this limitation, we introduce the Logit Refiner, a lightweight autoregressive module that restores intra-scale dependencies by sequentially sampling tokens conditioned on frozen backbone features. Adding only ~10% parameters and less than 5% of the base model's training compute, it plugs into any pretrained VAR checkpoint without retraining. Controlled ablations isolate joint intra-scale sampling -- rather than additional capacity or training -- as the critical ingredient. Across backbones from 310M to 2B parameters on class-conditional ImageNet 256x256, the refiner consistently improves generation quality, enabling a 1.1B-parameter model to surpass one twice its size. The approach further generalizes to text-to-image generation, confirming that the mean-field bottleneck persists across VAR variants and is effectively alleviated by our method. Project page: https://compvis.github.io/logit-refiner/
Authors 4
Meimingwei Li, Stefan Andreas Baumann, Felix Krause, Bj\"orn Ommer
Specification
- Official page
Source:arXiv (Atom API + RSS)T1observed 50 min agohigh
- Arxiv announce type
- new
Source:arXiv (Atom API + RSS)T1observed 49 min agohigh
- arXiv id
- 2609.11804
Source:arXiv (Atom API + RSS)T1observed 50 min agohigh
- Categories
- cs.CV, cs.AI, cs.LG
Source:arXiv (Atom API + RSS)T1observed 50 min agohigh
Source:arXiv (Atom API + RSS)T1observed 50 min agohigh
- Primary category
- cs.CV
Source:arXiv (Atom API + RSS)T1observed 50 min agohigh
- Published
- 11 Sept 2026
Source:arXiv (Atom API + RSS)T1observed 50 min agohigh
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- Property changedPaperLogit Refiner: Improving Visual Autoregressive Models via Intra-Scale Dependency Modeling
Logit Refiner: Improving Visual Autoregressive Models via Intra-Scale Dependency Modeling: arxiv announce type changed from cross to new
Arxiv announce typecross→newarxiv - New paperPaperLogit Refiner: Improving Visual Autoregressive Models via Intra-Scale Dependency Modeling
New paper: Logit Refiner: Improving Visual Autoregressive Models via Intra-Scale Dependency Modeling
arxiv
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| arXiv (Atom API + RSS) | rss.arxiv.org/rss/cs.CV | feed | T1· Official | 49 min ago | 1 |
| arXiv (Atom API + RSS) | rss.arxiv.org/rss/cs.LG | feed | T1· Official | 50 min ago | 1 |
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