Cover Image

Mirror Diffusion Models for Constrained and Watermarked Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Guan-Horng, Chen, Tianrong, Theodorou, Evangelos A., Tao, Molei
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Generalized Schrödinger Bridges: From Image Generation to Solving Mean-Field Games
by: Liu, Guan-Horng, et al.
Published: (2024)

Quantum State Generation with Structure-Preserving Diffusion Model
by: Zhu, Yuchen, et al.
Published: (2024)

Optimal Control Theoretic Neural Optimizer: From Backpropagation to Dynamic Programming
by: Liu, Guan-Horng, et al.
Published: (2025)

Generalization of Diffusion Models Arises with a Balanced Representation Space
by: Zhang, Zekai, et al.
Published: (2025)

Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
by: Zhu, Yuchen, et al.
Published: (2024)

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models
by: Meintz, Michel, et al.
Published: (2025)

Neural Approximate Mirror Maps for Constrained Diffusion Models
by: Feng, Berthy T., et al.
Published: (2024)

Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images
by: Zhu, Sichen, et al.
Published: (2025)

Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces
by: Rojas, Kevin, et al.
Published: (2025)

DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models
by: Cui, Yingqian, et al.
Published: (2023)

Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models
by: Zhang, Xinxi, et al.
Published: (2024)

DFU: scale-robust diffusion model for zero-shot super-resolution image generation
by: Havrilla, Alex, et al.
Published: (2023)

Normalizing Trajectory Models
by: Gu, Jiatao, et al.
Published: (2026)

Boundary-Constrained Diffusion Models for Floorplan Generation: Balancing Realism and Diversity
by: Stoppani, Leonardo, et al.
Published: (2026)

Normalizing Flows are Capable Generative Models
by: Zhai, Shuangfei, et al.
Published: (2024)

Constrained Diffusion with Trust Sampling
by: Huang, William, et al.
Published: (2024)

STARFlow-V: End-to-End Video Generative Modeling with Normalizing Flows
by: Gu, Jiatao, et al.
Published: (2025)

Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
by: Ren, Yinuo, et al.
Published: (2025)

STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation
by: Shen, Ying, et al.
Published: (2026)

ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features
by: Helbling, Alec, et al.
Published: (2025)

How to Trace Latent Generative Model Generated Images without Artificial Watermark?
by: Wang, Zhenting, et al.
Published: (2024)

Shallow Diffuse: Robust and Invisible Watermarking through Low-Dimensional Subspaces in Diffusion Models
by: Li, Wenda, et al.
Published: (2024)

NoisePrints: Distortion-Free Watermarks for Authorship in Private Diffusion Models
by: Goren, Nir, et al.
Published: (2025)

VIDSTAMP: A Temporally-Aware Watermark for Ownership and Integrity in Video Diffusion Models
by: Teymoorianfard, Mohammadreza, et al.
Published: (2025)

DiffDesign: Controllable Diffusion with Meta Prior for Efficient Interior Design Generation
by: Yang, Yuxuan, et al.
Published: (2024)

Chain-of-Trajectories: Unlocking the Intrinsic Generative Optimality of Diffusion Models via Graph-Theoretic Planning
by: Chen, Ping, et al.
Published: (2026)

Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization
by: Gao, Weizhi, et al.
Published: (2025)

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
by: Kim, Won Jun, et al.
Published: (2024)

Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints
by: Chen, Jian, et al.
Published: (2024)

Constrained Diffusion Models via Dual Training
by: Khalafi, Shervin, et al.
Published: (2024)

Post-training Quantization for Text-to-Image Diffusion Models with Progressive Calibration and Activation Relaxing
by: Tang, Siao, et al.
Published: (2023)

Environment-Aware Satellite Image Generation with Diffusion Models
by: Kostagiolas, Nikos, et al.
Published: (2025)

Data Pruning in Generative Diffusion Models
by: Briq, Rania, et al.
Published: (2024)

Nearest Neighbour Score Estimators for Diffusion Generative Models
by: Niedoba, Matthew, et al.
Published: (2024)

SemBind: Binding Diffusion Watermarks to Semantics Against Black-Box Forgery Attacks
by: Zhang, Xin, et al.
Published: (2026)

SAT-LDM: Provably Generalizable Image Watermarking for Latent Diffusion Models with Self-Augmented Training
by: Zhang, Lu, et al.
Published: (2024)

Compositional Adversarial Training for Robust Visual Watermarking
by: Satheesh, Anirudh, et al.
Published: (2026)

Learning Single Index Models with Diffusion Priors
by: Tang, Anqi, et al.
Published: (2025)

Draw Like an Artist: Complex Scene Generation with Diffusion Model via Composition, Painting, and Retouching
by: Liu, Minghao, et al.
Published: (2024)

Improving Adversarial Energy-Based Model via Diffusion Process
by: Geng, Cong, et al.
Published: (2024)