Imagen de Portada

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Jain, Anubhav, Kobayashi, Yuya, Murata, Naoki, Takida, Yuhta, Shibuya, Takashi, Mitsufuji, Yuki, Cohen, Niv, Memon, Nasir, Togelius, Julian
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

TraSCE: Trajectory Steering for Concept Erasure
por: Jain, Anubhav, et al.
Publicado: (2024)

Classifier-Free Guidance inside the Attraction Basin May Cause Memorization
por: Jain, Anubhav, et al.
Publicado: (2024)

Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity
por: Kobayashi, Yuya, et al.
Publicado: (2025)

MoLA: Motion Generation and Editing with Latent Diffusion Enhanced by Adversarial Training
por: Uchida, Kengo, et al.
Publicado: (2024)

BigVSAN: Enhancing GAN-based Neural Vocoders with Slicing Adversarial Network
por: Shibuya, Takashi, et al.
Publicado: (2023)

Distill, Forget, Repeat: A Framework for Continual Unlearning in Text-to-Image Diffusion Models
por: George, Naveen, et al.
Publicado: (2025)

SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer
por: Takida, Yuhta, et al.
Publicado: (2023)

Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models
por: Tao, Zerui, et al.
Publicado: (2025)

Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion
por: Nguyen, Bac, et al.
Publicado: (2024)

Noise Scheduling as Information-Guided Allocation in Diffusion Training
por: Raya, Gabriel, et al.
Publicado: (2026)

Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignment
por: Nguyen, Bac, et al.
Publicado: (2026)

SONA: Learning Conditional, Unconditional, and Mismatching-Aware Discriminator
por: Takida, Yuhta, et al.
Publicado: (2025)

G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving
por: Murata, Naoki, et al.
Publicado: (2024)

GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning
por: Murata, Naoki, et al.
Publicado: (2026)

Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric
por: Uesaka, Toshimitsu, et al.
Publicado: (2024)

VCT: Training Consistency Models with Variational Noise Coupling
por: Silvestri, Gianluigi, et al.
Publicado: (2025)

Distillation of Discrete Diffusion through Dimensional Correlations
por: Hayakawa, Satoshi, et al.
Publicado: (2024)

Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion
por: Hayakawa, Satoshi, et al.
Publicado: (2025)

SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation
por: Saito, Koichi, et al.
Publicado: (2024)

Alpha-wolves and Alpha-mammals: Exploring Dictionary Attacks on Iris Recognition Systems
por: Banerjee, Sudipta, et al.
Publicado: (2023)

Denoising Multi-Beta VAE: Representation Learning for Disentanglement and Generation
por: Uppal, Anshuk, et al.
Publicado: (2025)

PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
por: Kim, Dongjun, et al.
Publicado: (2024)

Theoretical Refinement of CLIP by Utilizing Linear Structure of Optimal Similarity
por: Yoshida, Naoki, et al.
Publicado: (2025)

HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes
por: Takida, Yuhta, et al.
Publicado: (2023)

$\textit{Jump Your Steps}$: Optimizing Sampling Schedule of Discrete Diffusion Models
por: Park, Yong-Hyun, et al.
Publicado: (2024)

Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
por: Kim, Dongjun, et al.
Publicado: (2023)

A Unified View of Score-Based and Drifting Models
por: Lai, Chieh-Hsin, et al.
Publicado: (2026)

Improving Classifier-Free Guidance in Masked Diffusion: Low-Dim Theoretical Insights with High-Dim Impact
por: Rojas, Kevin, et al.
Publicado: (2025)

PAVAS: Physics-Aware Video-to-Audio Synthesis
por: Hyun-Bin, Oh, et al.
Publicado: (2025)

MMDisCo: Multi-Modal Discriminator-Guided Cooperative Diffusion for Joint Audio and Video Generation
por: Hayakawa, Akio, et al.
Publicado: (2024)

A Simple but Strong Baseline for Sounding Video Generation: Effective Adaptation of Audio and Video Diffusion Models for Joint Generation
por: Ishii, Masato, et al.
Publicado: (2024)

HumanGif: Single-View Human Diffusion with Generative Prior
por: Hu, Shoukang, et al.
Publicado: (2025)

FaceCloak: Learning to Protect Face Templates
por: Banerjee, Sudipta, et al.
Publicado: (2025)

Blind Inverse Problem Solving Made Easy by Text-to-Image Latent Diffusion
por: Dontas, Michail, et al.
Publicado: (2024)

GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping
por: Seo, Junyoung, et al.
Publicado: (2024)

On the Robustness of Watermarking for Autoregressive Image Generation
por: Müller, Andreas, et al.
Publicado: (2026)

Diffusion-based Signal Refiner for Speech Enhancement and Separation
por: Hirano, Masato, et al.
Publicado: (2023)

Understanding and Accelerating the Training of Masked Diffusion Language Models
por: Hong, Chunsan, et al.
Publicado: (2026)

Dyadic Mamba: Long-term Dyadic Human Motion Synthesis
por: Tanke, Julian, et al.
Publicado: (2025)

Concept-TRAK: Understanding how diffusion models learn concepts through concept-level attribution
por: Park, Yonghyun, et al.
Publicado: (2025)