Cover Image

Understanding-in-Generation: Reinforcing Generative Capability of Unified Model via Infusing Understanding into Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lyu, Yuanhuiyi, Wong, Chi Kit, Liao, Chenfei, Jiang, Lutao, Zheng, Xu, Lu, Zexin, Zhang, Linfeng, Hu, Xuming
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EgoIntent: An Egocentric Step-level Benchmark for Understanding What, Why, and Next
by: Pan, Ye, et al.
Published: (2026)

RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning
by: Lyu, Yuanhuiyi, et al.
Published: (2025)

Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook
by: Zheng, Xu, et al.
Published: (2025)

StruVis: Enhancing Reasoning-based Text-to-Image Generation via Thinking with Structured Vision
by: Lyu, Yuanhuiyi, et al.
Published: (2026)

BrightDreamer: Generic 3D Gaussian Generative Framework for Fast Text-to-3D Synthesis
by: Jiang, Lutao, et al.
Published: (2024)

MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation via Hierarchical Modality Selection
by: Zheng, Xu, et al.
Published: (2024)

OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation
by: Zhong, Ding, et al.
Published: (2025)

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization
by: Zheng, Xu, et al.
Published: (2025)

Learning Robust Anymodal Segmentor with Unimodal and Cross-modal Distillation
by: Zheng, Xu, et al.
Published: (2024)

Are We Using the Right Benchmark: An Evaluation Framework for Visual Token Compression Methods
by: Liao, Chenfei, et al.
Published: (2025)

SAVEn-Vid: Synergistic Audio-Visual Integration for Enhanced Understanding in Long Video Context
by: Li, Jungang, et al.
Published: (2024)

MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation
by: Liao, Chenfei, et al.
Published: (2025)

EventBind: Learning a Unified Representation to Bind Them All for Event-based Open-world Understanding
by: Zhou, Jiazhou, et al.
Published: (2023)

PANORAMA: The Rise of Omnidirectional Vision in the Embodied AI Era
by: Zheng, Xu, et al.
Published: (2025)

T-Rex-Omni: Integrating Negative Visual Prompt in Generic Object Detection
by: Zhou, Jiazhou, et al.
Published: (2025)

PhysToolBench: Benchmarking Physical Tool Understanding for MLLMs
by: Zhang, Zixin, et al.
Published: (2025)

Image Anything: Towards Reasoning-coherent and Training-free Multi-modal Image Generation
by: Lyu, Yuanhuiyi, et al.
Published: (2024)

Don't Just Chase "Highlighted Tokens" in MLLMs: Revisiting Visual Holistic Context Retention
by: Zou, Xin, et al.
Published: (2025)

Co-Reinforcement Learning for Unified Multimodal Understanding and Generation
by: Jiang, Jingjing, et al.
Published: (2025)

Unified Personalized Understanding, Generating and Editing
by: Zhong, Yu, et al.
Published: (2026)

TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation
by: Qu, Liao, et al.
Published: (2024)

CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout
by: Bai, Haotian, et al.
Published: (2023)

UniBind: LLM-Augmented Unified and Balanced Representation Space to Bind Them All
by: Lyu, Yuanhuiyi, et al.
Published: (2024)

AI for Service: Proactive Assistance with AI Glasses
by: Wen, Zichen, et al.
Published: (2025)

MoRL: Reinforced Reasoning for Unified Motion Understanding and Generation
by: Wang, Hongpeng, et al.
Published: (2026)

Multimodal Spatial Reasoning in the Large Model Era: A Survey and Benchmarks
by: Zheng, Xu, et al.
Published: (2025)

A General Framework to Boost 3D GS Initialization for Text-to-3D Generation by Lexical Richness
by: Jiang, Lutao, et al.
Published: (2024)

Omni-Weather: A Unified Multimodal Model for Weather Radar Understanding and Generation
by: Zhou, Zhiwang, et al.
Published: (2025)

OmniMamba: Efficient and Unified Multimodal Understanding and Generation via State Space Models
by: Zou, Jialv, et al.
Published: (2025)

Learning Modality-agnostic Representation for Semantic Segmentation from Any Modalities
by: Zheng, Xu, et al.
Published: (2024)

Hyper-Bagel: A Unified Acceleration Framework for Multimodal Understanding and Generation
by: Lu, Yanzuo, et al.
Published: (2025)

UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding
by: Xu, Chenkai, et al.
Published: (2025)

UniCompress: Token Compression for Unified Vision-Language Understanding and Generation
by: Wang, Ziyao, et al.
Published: (2026)

Learning to Generate via Understanding: Understanding-Driven Intrinsic Rewarding for Unified Multimodal Models
by: Pan, Jiadong, et al.
Published: (2026)

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding
by: Jiang, Yibo, et al.
Published: (2026)

UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and Generation
by: Tian, Rui, et al.
Published: (2025)

EMMA: Efficient Multimodal Understanding, Generation, and Editing with a Unified Architecture
by: He, Xin, et al.
Published: (2025)

Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
by: Zhao, Shanshan, et al.
Published: (2025)

Harmonizing Visual Representations for Unified Multimodal Understanding and Generation
by: Wu, Size, et al.
Published: (2025)

DiMeR: Disentangled Mesh Reconstruction Model
by: Jiang, Lutao, et al.
Published: (2025)