Cover Image

Gradient-free Decoder Inversion in Latent Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hong, Seongmin, Jeon, Suh Yoon, Lee, Kyeonghyun, Ryu, Ernest K., Chun, Se Young
Format:	Preprint
Published:	2024
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Multimodal ELBO with Diffusion Decoders
by: Wesego, Daniel, et al.
Published: (2024)

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

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

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

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

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

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

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

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