Image de couverture de livre

Controlling Latent Diffusion Using Latent CLIP

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Becker, Jason, Wendler, Chris, Baylies, Peter, West, Robert, Wressnegger, Christian
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning Image and Video Processing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models
par: Osuala, Richard, et autres
Publié: (2024)

Semantic-Aware Adaptive Video Streaming Using Latent Diffusion Models for Wireless Networks
par: Yan, Zijiang, et autres
Publié: (2025)

CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning
par: Ahmed, Fatmaelzahraa Ali, et autres
Publié: (2025)

FLOAT: Generative Motion Latent Flow Matching for Audio-driven Talking Portrait
par: Ki, Taekyung, et autres
Publié: (2024)

Learning Illumination Control in Diffusion Models
par: Anand, Nishit, et autres
Publié: (2026)

Multiscale Structure-Guided Latent Diffusion for Multimodal MRI Translation
par: Lin, Jianqiang, et autres
Publié: (2026)

Inpainting Pathology in Lumbar Spine MRI with Latent Diffusion
par: Hansen, Colin, et autres
Publié: (2024)

Quantized Keys Steal Attention: Bias Correction for KV-Cache Compression in Video Diffusion
par: Tuncer, Tuna, et autres
Publié: (2026)

Latent Wavelet Diffusion For Ultra-High-Resolution Image Synthesis
par: Sigillo, Luigi, et autres
Publié: (2025)

SALIENT: Frequency-Aware Paired Diffusion for Controllable Long-Tail CT Detection
par: Li, Yifan, et autres
Publié: (2026)

CardioComposer: Leveraging Differentiable Geometry for Compositional Control of Anatomical Diffusion Models
par: Kadry, Karim, et autres
Publié: (2025)

Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems
par: Packhäuser, Kai, et autres
Publié: (2022)

Pancreatic Tumor Segmentation as Anomaly Detection in CT Images Using Denoising Diffusion Models
par: Babaei, Reza, et autres
Publié: (2024)

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation
par: Aqeel, Muhammad, et autres
Publié: (2025)

Physiological neural representation for personalised tracer kinetic parameter estimation from dynamic PET
par: Tehlan, Kartikay, et autres
Publié: (2025)

Analysing Diffusion Segmentation for Medical Images
par: Öttl, Mathias, et autres
Publié: (2024)

Comparing Baseline and Day-1 Diffusion MRI Using Multimodal Deep Embeddings for Stroke Outcome Prediction
par: Raeisadigh, Sina, et autres
Publié: (2025)

3D Wavelet Latent Diffusion Model for Whole-Body MR-to-CT Modality Translation
par: Zheng, Jiaxu, et autres
Publié: (2025)

Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo
par: Achituve, Idan, et autres
Publié: (2025)

Unconditional Latent Diffusion Models Memorize Patient Imaging Data: Implications for Openly Sharing Synthetic Data
par: Dar, Salman Ul Hassan, et autres
Publié: (2024)

Classification of Multi-Parametric Body MRI Series Using Deep Learning
par: Kim, Boah, et autres
Publié: (2025)

Spectral Collapse in Diffusion Inversion
par: Bourriez, Nicolas, et autres
Publié: (2026)

Energy-Based Prior Latent Space Diffusion model for Reconstruction of Lumbar Vertebrae from Thick Slice MRI
par: Wang, Yanke, et autres
Publié: (2024)

Dual Ascent Diffusion for Inverse Problems
par: Kim, Minseo, et autres
Publié: (2025)

ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration
par: Hsiao, Chi-Wei, et autres
Publié: (2024)

CoCoLIT: ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis
par: Sargood, Alec, et autres
Publié: (2025)

Interactive Generation of Laparoscopic Videos with Diffusion Models
par: Iliash, Ivan, et autres
Publié: (2024)

Fine-Tuning TransMorph with Gradient Correlation for Anatomical Alignment
par: Förner, Lukas, et autres
Publié: (2024)

Latent Space Consistency for Sparse-View CT Reconstruction
par: Chen, Duoyou, et autres
Publié: (2025)

Advancing Diffusion Models: Alias-Free Resampling and Enhanced Rotational Equivariance
par: Anjum, Md Fahim
Publié: (2024)

A-SelecT: Automatic Timestep Selection for Diffusion Transformer Representation Learning
par: Liu, Changyu, et autres
Publié: (2026)

Leveraging Latents for Efficient Thermography Classification and Segmentation
par: Shor, Tamir, et autres
Publié: (2024)

Progressive Growing of Video Tokenizers for Temporally Compact Latent Spaces
par: Mahapatra, Aniruddha, et autres
Publié: (2025)

Multiple Latent Space Mapping for Compressed Dark Image Enhancement
par: Zeng, Yi, et autres
Publié: (2024)

3D Cardiac Anatomy Generation Using Mesh Latent Diffusion Models
par: Mozyrska, Jolanta, et autres
Publié: (2025)

Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems
par: Alçalar, Yaşar Utku, et autres
Publié: (2024)

Random Walks with Tweedie: A Unified View of Score-Based Diffusion Models
par: Park, Chicago Y., et autres
Publié: (2024)

MedCondDiff: Lightweight, Robust, Semantically Guided Diffusion for Medical Image Segmentation
par: Huang, Ruirui, et autres
Publié: (2025)

Evaluating the Posterior Sampling Ability of Plug&Play Diffusion Methods in Sparse-View CT
par: Moroy, Liam, et autres
Publié: (2024)

Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution
par: Moser, Brian, et autres
Publié: (2023)