Copertina

Gradient-free Decoder Inversion in Latent Diffusion Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Hong, Seongmin, Jeon, Suh Yoon, Lee, Kyeonghyun, Ryu, Ernest K., Chun, Se Young
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Unlearning the Unpromptable: Prompt-free Instance Unlearning in Diffusion Models
di: Lee, Kyungryeol, et al.
Pubblicazione: (2026)

PersonaCraft: Personalized and Controllable Full-Body Multi-Human Scene Generation Using Occlusion-Aware 3D-Conditioned Diffusion
di: Kim, Gwanghyun, et al.
Pubblicazione: (2024)

Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention Gate
di: Lee, Byung Hyun, et al.
Pubblicazione: (2025)

Latent Diffusion Inversion Requires Understanding the Latent Space
di: Rao, Mingxing, et al.
Pubblicazione: (2025)

DreamMakeup: Face Makeup Customization using Latent Diffusion Models
di: Park, Geon Yeong, et al.
Pubblicazione: (2025)

Self-Cascaded Diffusion Models for Arbitrary-Scale Image Super-Resolution
di: Bang, Junseo, et al.
Pubblicazione: (2025)

Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model
di: Choi, Joo Young, et al.
Pubblicazione: (2024)

Doubly Perturbed Task Free Continual Learning
di: Lee, Byung Hyun, et al.
Pubblicazione: (2023)

Training-free Mixed-Resolution Latent Upsampling for Spatially Accelerated Diffusion Transformers
di: Jeong, Wongi, et al.
Pubblicazione: (2025)

High-Fidelity Text-to-Image Generation from Pre-Trained Vision-Language Models via Distribution-Conditioned Diffusion Decoding
di: Hong, Ji Woo, et al.
Pubblicazione: (2026)

Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
di: Hahm, Jaehoon, et al.
Pubblicazione: (2024)

Triadic Dynamics Aware Diffusion Posterior Sampling for Inverse Problems: Optimizing Guidance and Stochasticity Schedules
di: Bang, Junseo, et al.
Pubblicazione: (2026)

Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing
di: Hong, Seongmin, et al.
Pubblicazione: (2024)

SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model
di: Bae, Inhwan, et al.
Pubblicazione: (2024)

Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control
di: Park, Seongmin, et al.
Pubblicazione: (2024)

PGID: Progressive Guided Inversion and Denoising for Robust Watermark Detection
di: Duong, Minh Quoc, et al.
Pubblicazione: (2026)

Q-Drift: Quantization-Aware Drift Correction for Diffusion Model Sampling
di: Ryu, Sooyoung, et al.
Pubblicazione: (2026)

LTD: Low Temperature Distillation for Gradient Masking-free Adversarial Training
di: Chen, Erh-Chung, et al.
Pubblicazione: (2021)

Human Interaction-Aware 3D Reconstruction from a Single Image
di: Kim, Gwanghyun, et al.
Pubblicazione: (2026)

Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model
di: Huang, Lin-Chun, et al.
Pubblicazione: (2025)

From Diffusion to Flow: Efficient Motion Generation in MotionGPT3
di: Ban, Jaymin, et al.
Pubblicazione: (2026)

Canonical Latent Representations in Conditional Diffusion Models
di: Xu, Yitao, et al.
Pubblicazione: (2025)

DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models
di: Ryu, Hyogon, et al.
Pubblicazione: (2025)

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion
di: Wang, Hanrui, et al.
Pubblicazione: (2025)

STAG: Structural Test-time Alignment of Gradients for Online Adaptation
di: Shin, Juhyeon, et al.
Pubblicazione: (2024)

Learning Latent Space Hierarchical EBM Diffusion Models
di: Cui, Jiali, et al.
Pubblicazione: (2024)

Implicit Inversion turns CLIP into a Decoder
di: D'Orazio, Antonio, et al.
Pubblicazione: (2025)

JLT: Clean-Latent Prediction in Latent Diffusion Transformers
di: Fu, Funing, et al.
Pubblicazione: (2026)

Exploring User-level Gradient Inversion with a Diffusion Prior
di: Li, Zhuohang, et al.
Pubblicazione: (2024)

SALAD: Skeleton-aware Latent Diffusion for Text-driven Motion Generation and Editing
di: Hong, Seokhyeon, et al.
Pubblicazione: (2025)

Federated Domain Generalization with Latent Space Inversion
di: Palakkadavath, Ragja, et al.
Pubblicazione: (2025)

Multimodal ELBO with Diffusion Decoders
di: Wesego, Daniel, et al.
Pubblicazione: (2024)

InPO: Inversion Preference Optimization with Reparametrized DDIM for Efficient Diffusion Model Alignment
di: Lu, Yunhong, et al.
Pubblicazione: (2025)

DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models
di: He, Xiaoxiao, et al.
Pubblicazione: (2024)

BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models
di: Wang, Fangyikang, et al.
Pubblicazione: (2024)

Sequential Flow Straightening for Generative Modeling
di: Yoon, Jongmin, et al.
Pubblicazione: (2024)

Skrr: Skip and Re-use Text Encoder Layers for Memory Efficient Text-to-Image Generation
di: Seo, Hoigi, et al.
Pubblicazione: (2025)

RBF-Solver: A Multistep Sampler for Diffusion Probabilistic Models via Radial Basis Functions
di: Park, Soochul, et al.
Pubblicazione: (2026)

Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications
di: Hu, Zixuan, et al.
Pubblicazione: (2025)

Gradient-Guided Exploration of Generative Model's Latent Space for Controlled Iris Image Augmentations
di: Mitcheff, Mahsa, et al.
Pubblicazione: (2025)