Cover Image

Integrating Reinforcement Learning with Visual Generative Models: Foundations and Advances

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liang, Yuanzhi, Fang, Yijie, Hao, Ke, Li, Rui, Ni, Ziqi, Su, Ruijie, Zhang, Chi
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

Seeing What Matters: Visual Preference Policy Optimization for Visual Generation
by: Ni, Ziqi, et al.
Published: (2025)

Learning to Credit the Right Steps: Objective-aware Process Optimization for Visual Generation
by: Li, Rui, et al.
Published: (2026)

Rethinking Reward Signals in Video GRPO: When Scores Become Targets
by: Li, Rui, et al.
Published: (2025)

Reward-Aware Trajectory Shaping for Few-step Visual Generation
by: Li, Rui, et al.
Published: (2026)

TeleBoost: A Systematic Alignment Framework for High-Fidelity, Controllable, and Robust Video Generation
by: Liang, Yuanzhi, et al.
Published: (2026)

Learning What to Trust: Bayesian Prior-Guided Optimization for Visual Generation
by: Liu, Ruiying, et al.
Published: (2025)

UniModel: A Visual-Only Framework for Unified Multimodal Understanding and Generation
by: Zhang, Chi, et al.
Published: (2025)

InterSyn: Interleaved Learning for Dynamic Motion Synthesis in the Wild
by: Ma, Yiyi, et al.
Published: (2025)

VAST 1.0: A Unified Framework for Controllable and Consistent Video Generation
by: Zhang, Chi, et al.
Published: (2024)

FUSAR-KLIP: Towards Multimodal Foundation Models for Remote Sensing
by: Yang, Yi, et al.
Published: (2025)

OmniVDiff: Omni Controllable Video Diffusion for Generation and Understanding
by: Xi, Dianbing, et al.
Published: (2025)

VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation
by: Wu, Yecheng, et al.
Published: (2024)

Unifying Multiple Foundation Models for Advanced Computational Pathology
by: Lei, Wenhui, et al.
Published: (2025)

LaxMotion: Rethinking Supervision Granularity for 3D Human Motion Generation
by: Liu, Sheng, et al.
Published: (2025)

Janus-Pro-R1: Advancing Collaborative Visual Comprehension and Generation via Reinforcement Learning
by: Pan, Kaihang, et al.
Published: (2025)

SpatialLock: Precise Spatial Control in Text-to-Image Synthesis
by: Liu, Biao, et al.
Published: (2025)

Towards General Multimodal Visual Tracking
by: Lu, Andong, et al.
Published: (2025)

Uni-Inter: Unifying 3D Human Motion Synthesis Across Diverse Interaction Contexts
by: Liu, Sheng, et al.
Published: (2025)

CtrlVDiff: Controllable Video Generation via Unified Multimodal Video Diffusion
by: Xi, Dianbing, et al.
Published: (2025)

Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model
by: Seedance, Team, et al.
Published: (2025)

Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation
by: Su, Yuanzhi, et al.
Published: (2024)

OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning
by: Su, Zhaochen, et al.
Published: (2025)

Saliency-Guided Representation with Consistency Policy Learning for Visual Unsupervised Reinforcement Learning
by: Sun, Jingbo, et al.
Published: (2026)

Informative Text-Image Alignment for Visual Affordance Learning with Foundation Models
by: Zhang, Qian, et al.
Published: (2025)

SpongeBob: Sync-Aware Harmonious Audio-Visual Generative Editing
by: Liang, Sen, et al.
Published: (2026)

On the Suitability of Reinforcement Fine-Tuning to Visual Tasks
by: Chen, Xiaxu, et al.
Published: (2025)

AlignTok: Aligning Visual Foundation Encoders to Tokenizers for Diffusion Models
by: Chen, Bowei, et al.
Published: (2025)

Interpreting Object-level Foundation Models via Visual Precision Search
by: Chen, Ruoyu, et al.
Published: (2024)

OnlineAnySeg: Online Zero-Shot 3D Segmentation by Visual Foundation Model Guided 2D Mask Merging
by: Tang, Yijie, et al.
Published: (2025)

FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention
by: Lu, Yu, et al.
Published: (2024)

Enhancing Visual Continual Learning with Language-Guided Supervision
by: Ni, Bolin, et al.
Published: (2024)

GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing
by: Fang, Rongyao, et al.
Published: (2025)

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
by: Chen, Zhe, et al.
Published: (2023)

PUMA: Empowering Unified MLLM with Multi-granular Visual Generation
by: Fang, Rongyao, et al.
Published: (2024)

Attention Lattice Adapter: Visual Explanation Generation for Visual Foundation Model
by: Hirano, Shinnosuke, et al.
Published: (2025)

Scalable Visual State Space Model with Fractal Scanning
by: Tang, Lv, et al.
Published: (2024)

ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations
by: Liang, Tianming, et al.
Published: (2025)

Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation
by: Wang, Yuqing, et al.
Published: (2025)

Visual Text Generation in the Wild
by: Zhu, Yuanzhi, et al.
Published: (2024)

PathVLM-R1: A Reinforcement Learning-Driven Reasoning Model for Pathology Visual-Language Tasks
by: Wu, Jianyu, et al.
Published: (2025)