Luminark: Training-free, Probabilistically-Certified Watermarking for General Vision Generative Models
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Jiayi, Zhang, Zhang, Zhang, Yuanrui, Chen, Ruitao, Xu, Yixian, He, Tianyu, He, Di |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Pre-Trained Video Generative Models as World Simulators
by: He, Haoran, et al.
Published: (2025)
by: He, Haoran, et al.
Published: (2025)
Playing with Transformer at 30+ FPS via Next-Frame Diffusion
by: Cheng, Xinle, et al.
Published: (2025)
by: Cheng, Xinle, et al.
Published: (2025)
Regeneration Based Training-free Attribution of Fake Images Generated by Text-to-Image Generative Models
by: Li, Meiling, et al.
Published: (2024)
by: Li, Meiling, et al.
Published: (2024)
Warfare:Breaking the Watermark Protection of AI-Generated Content
by: Li, Guanlin, et al.
Published: (2023)
by: Li, Guanlin, et al.
Published: (2023)
Diagnosing and Improving Diffusion Models by Estimating the Optimal Loss Value
by: Xu, Yixian, et al.
Published: (2025)
by: Xu, Yixian, et al.
Published: (2025)
Training-free Composite Scene Generation for Layout-to-Image Synthesis
by: Liu, Jiaqi, et al.
Published: (2024)
by: Liu, Jiaqi, et al.
Published: (2024)
DDPM-MoCo: Advancing Industrial Surface Defect Generation and Detection with Generative and Contrastive Learning
by: He, Yangfan, et al.
Published: (2024)
by: He, Yangfan, et al.
Published: (2024)
Towards Efficient and General-Purpose Few-Shot Misclassification Detection for Vision-Language Models
by: Zeng, Fanhu, et al.
Published: (2025)
by: Zeng, Fanhu, et al.
Published: (2025)
DriveGenVLM: Real-world Video Generation for Vision Language Model based Autonomous Driving
by: Fu, Yongjie, et al.
Published: (2024)
by: Fu, Yongjie, et al.
Published: (2024)
Understanding vs. Generation: Navigating Optimization Dilemma in Multimodal Models
by: Ye, Sen, et al.
Published: (2026)
by: Ye, Sen, et al.
Published: (2026)
Generative Physical AI in Vision: A Survey
by: Liu, Daochang, et al.
Published: (2025)
by: Liu, Daochang, et al.
Published: (2025)
InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation
by: Wang, Yuchi, et al.
Published: (2024)
by: Wang, Yuchi, et al.
Published: (2024)
BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models
by: Shi, Fengyuan, et al.
Published: (2023)
by: Shi, Fengyuan, et al.
Published: (2023)
MagicMan: Generative Novel View Synthesis of Humans with 3D-Aware Diffusion and Iterative Refinement
by: He, Xu, et al.
Published: (2024)
by: He, Xu, et al.
Published: (2024)
Training-Free Watermarking for Autoregressive Image Generation
by: Tong, Yu, et al.
Published: (2025)
by: Tong, Yu, et al.
Published: (2025)
Highly Compressed Tokenizer Can Generate Without Training
by: Beyer, L. Lao, et al.
Published: (2025)
by: Beyer, L. Lao, et al.
Published: (2025)
V2Flow: Unifying Visual Tokenization and Large Language Model Vocabularies for Autoregressive Image Generation
by: Zhang, Guiwei, et al.
Published: (2025)
by: Zhang, Guiwei, et al.
Published: (2025)
Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation
by: Zhang, Jihai, et al.
Published: (2025)
by: Zhang, Jihai, et al.
Published: (2025)
HQA-VLAttack: Towards High Quality Adversarial Attack on Vision-Language Pre-Trained Models
by: Liu, Han, et al.
Published: (2026)
by: Liu, Han, et al.
Published: (2026)
ZipAR: Parallel Auto-regressive Image Generation through Spatial Locality
by: He, Yefei, et al.
Published: (2024)
by: He, Yefei, et al.
Published: (2024)
MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens
by: Zheng, Kaizhi, et al.
Published: (2023)
by: Zheng, Kaizhi, et al.
Published: (2023)
CF-VLA: Efficient Coarse-to-Fine Action Generation for Vision-Language-Action Policies
by: Du, Fan, et al.
Published: (2026)
by: Du, Fan, et al.
Published: (2026)
Pack and Force Your Memory: Long-form and Consistent Video Generation
by: Wu, Xiaofei, et al.
Published: (2025)
by: Wu, Xiaofei, et al.
Published: (2025)
BitMark: Watermarking Bitwise Autoregressive Image Generative Models
by: Kerner, Louis, et al.
Published: (2025)
by: Kerner, Louis, et al.
Published: (2025)
SGTR+: End-to-end Scene Graph Generation with Transformer
by: Li, Rongjie, et al.
Published: (2024)
by: Li, Rongjie, et al.
Published: (2024)
freePruner: A Training-free Approach for Large Multimodal Model Acceleration
by: Xu, Bingxin, et al.
Published: (2024)
by: Xu, Bingxin, et al.
Published: (2024)
Moyun: A Diffusion-Based Model for Style-Specific Chinese Calligraphy Generation
by: Liu, Kaiyuan, et al.
Published: (2024)
by: Liu, Kaiyuan, et al.
Published: (2024)
UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation
by: Zhao, Xiangyu, et al.
Published: (2024)
by: Zhao, Xiangyu, et al.
Published: (2024)
ARGen: Affect-Reinforced Generative Augmentation towards Vision-based Dynamic Emotion Perception
by: Wang, Huanzhen, et al.
Published: (2026)
by: Wang, Huanzhen, et al.
Published: (2026)
ShareVerse: Multi-Agent Consistent Video Generation for Shared World Modeling
by: Zhu, Jiayi, et al.
Published: (2026)
by: Zhu, Jiayi, et al.
Published: (2026)
Vision Foundation Models as Effective Visual Tokenizers for Autoregressive Image Generation
by: Zheng, Anlin, et al.
Published: (2025)
by: Zheng, Anlin, et al.
Published: (2025)
SARE: Sample-wise Adaptive Reasoning for Training-free Fine-grained Visual Recognition
by: Yang, Jingxiao, et al.
Published: (2026)
by: Yang, Jingxiao, et al.
Published: (2026)
Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models
by: Chen, Xinyu, et al.
Published: (2025)
by: Chen, Xinyu, et al.
Published: (2025)
VisMem: Latent Vision Memory Unlocks Potential of Vision-Language Models
by: Yu, Xinlei, et al.
Published: (2025)
by: Yu, Xinlei, et al.
Published: (2025)
T2SMark: Balancing Robustness and Diversity in Noise-as-Watermark for Diffusion Models
by: Yang, Jindong, et al.
Published: (2025)
by: Yang, Jindong, et al.
Published: (2025)
Fine-Grained Post-Training Quantization for Large Vision Language Models with Quantization-Aware Integrated Gradients
by: Xiang, Ziwei, et al.
Published: (2026)
by: Xiang, Ziwei, et al.
Published: (2026)
SKeDA: A Generative Watermarking Framework for Text-to-video Diffusion Models
by: Yang, Yang, et al.
Published: (2026)
by: Yang, Yang, et al.
Published: (2026)
ChromouVQA: Benchmarking Vision-Language Models under Chromatic Camouflaged Images
by: Zhang, Yunfei, et al.
Published: (2025)
by: Zhang, Yunfei, et al.
Published: (2025)
PTQ4ARVG: Post-Training Quantization for AutoRegressive Visual Generation Models
by: Liu, Xuewen, et al.
Published: (2026)
by: Liu, Xuewen, et al.
Published: (2026)
MatchDiffusion: Training-free Generation of Match-cuts
by: Pardo, Alejandro, et al.
Published: (2024)
by: Pardo, Alejandro, et al.
Published: (2024)
Similar Items
-
Pre-Trained Video Generative Models as World Simulators
by: He, Haoran, et al.
Published: (2025) -
Playing with Transformer at 30+ FPS via Next-Frame Diffusion
by: Cheng, Xinle, et al.
Published: (2025) -
Regeneration Based Training-free Attribution of Fake Images Generated by Text-to-Image Generative Models
by: Li, Meiling, et al.
Published: (2024) -
Warfare:Breaking the Watermark Protection of AI-Generated Content
by: Li, Guanlin, et al.
Published: (2023) -
Diagnosing and Improving Diffusion Models by Estimating the Optimal Loss Value
by: Xu, Yixian, et al.
Published: (2025)