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Uncovering Understanding-Generation Synergy in Native Unified Multimodal Models: From Representation, Task to System

Paper recorded by Signals 4 on 2026-09-01 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-01 on arXiv · recorded by Signals 4 on 2026-09-02

Category: cs.CV · 计算机视觉 · first seen 2026-09-02

Abstract

While unified multimodal models (UMMs) jointly perform visual understanding and generation within a single model, functional unification does not guarantee learning synergy: the two objectives may reinforce each other, compete for capacity, or merely coexist. We investigate their relationship at the representation, task, and system levels in a controlled, structurally native setting without pretra

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#176 most recent of 237 cs.CV papers we have recorded · ↑ newer: Genesis: A Generative Engine for Hierarchical Satellite Image Synthesi · ↓ older: UI-VISA: U-Net Initialized Vascular Image Segmentation Architecture
Cite this page: Uncovering Understanding-Generation Synergy in Native Unified Multimodal Models: From Representation, Task to System: the #176 most recent of 237 cs.CV papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/uncovering-understanding-generation-synergy-in-native-unified-multimodal-models-.html
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