:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bordin, Tom, Maugey, Thomas
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2404.06865
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards image compression with perfect realism at ultra-low bitrates
by: Careil, Marlène, et al.
Published: (2023)

Efficient training for compact compression models via sequential distillation
by: Rodrigues, Caroline Mazini, et al.
Published: (2026)

SMIC: Semantic Multi-Item Compression based on CLIP dictionary
by: Bachard, Tom, et al.
Published: (2024)

SLIM: Semantic-based Low-bitrate Image compression for Machines by leveraging diffusion
by: Lee, Hyeonjin, et al.
Published: (2025)

GeoGuide: Geometric guidance of diffusion models
by: Poleski, Mateusz, et al.
Published: (2024)

Extremely low-bitrate Image Compression Semantically Disentangled by LMMs from a Human Perception Perspective
by: Song, Juan, et al.
Published: (2025)

Unifying Generation and Compression: Ultra-low bitrate Image Coding Via Multi-stage Transformer
by: Xue, Naifu, et al.
Published: (2024)

Fine-grained subjective visual quality assessment for high-fidelity compressed images
by: Testolina, Michela, et al.
Published: (2024)

A ground-based dataset and a diffusion model for on-orbit low-light image enhancement
by: Zhu, Yiman, et al.
Published: (2023)

Efficient scene text image super-resolution with semantic guidance
by: TomyEnrique, LeoWu, et al.
Published: (2024)

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model
by: Brenig, Jonas, et al.
Published: (2025)

Combining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidance
by: Westfechtel, Thomas, et al.
Published: (2023)

Live image-based neurosurgical guidance and roadmap generation using unsupervised embedding
by: Sarwin, Gary, et al.
Published: (2023)

Dynamic watermarks in images generated by diffusion models
by: Chen, Yunzhuo, et al.
Published: (2025)

LMM-driven Semantic Image-Text Coding for Ultra Low-bitrate Learned Image Compression
by: Murai, Shimon, et al.
Published: (2024)

CoDi -- an exemplar-conditioned diffusion model for low-shot counting
by: Šuštar, Grega, et al.
Published: (2025)

Variational Bayes image restoration with compressive autoencoders
by: Biquard, Maud, et al.
Published: (2023)

EZIGen: Enhancing zero-shot personalized image generation with precise subject encoding and decoupled guidance
by: Duan, Zicheng, et al.
Published: (2024)

FS-Diff: Semantic guidance and clarity-aware simultaneous multimodal image fusion and super-resolution
by: Jie, Yuchan, et al.
Published: (2025)

I2V3D: Controllable image-to-video generation with 3D guidance
by: Zhang, Zhiyuan, et al.
Published: (2025)

Mask-guided cross-image attention for zero-shot in-silico histopathologic image generation with a diffusion model
by: Winter, Dominik, et al.
Published: (2024)

Training-free image inversion for one-step diffusion models
by: Wu, Tao, et al.
Published: (2026)

Learned representation-guided diffusion models for large-image generation
by: Graikos, Alexandros, et al.
Published: (2023)

Phase-map synthesis from magnitude-only MR images using conditional score-based diffusion models with application in training of accelerated MRI reconstruction models
by: Sahin, M. Berk, et al.
Published: (2026)

SituationalLLM: Proactive language models with scene awareness for dynamic, contextual task guidance
by: Khan, Muhammad Saif Ullah, et al.
Published: (2024)

LDM-Morph: Latent diffusion model guided deformable image registration
by: Wu, Jiong, et al.
Published: (2024)

Concept Corrector: Erase concepts on the fly for text-to-image diffusion models
by: Meng, Zheling, et al.
Published: (2025)

Fuzzy color model and clustering algorithm for color clustering problem
by: Kim, Dae-Won, et al.
Published: (2024)

Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolution
by: Laroche, Charles, et al.
Published: (2023)

DiffLoss: unleashing diffusion model as constraint for training image restoration network
by: Tan, Jiangtong, et al.
Published: (2024)

Dark Miner: Defend against undesirable generation for text-to-image diffusion models
by: Meng, Zheling, et al.
Published: (2024)

AWDiff: An a trous wavelet diffusion model for lung ultrasound image synthesis
by: Heidari, Maryam, et al.
Published: (2026)

Test-time adaptation for image compression with distribution regularization
by: Chen, Kecheng, et al.
Published: (2024)

Deep learning-based compression of giga-resolution whole slide images
by: Høibø, Maren, et al.
Published: (2026)

$\textit{Revelio}$: Interpreting and leveraging semantic information in diffusion models
by: Kim, Dahye, et al.
Published: (2024)

Improved image display by identifying the RGB family color space
by: Togban, Elvis, et al.
Published: (2024)

Graph Neural Networks for modelling breast biomechanical compression
by: Awwad, Hadeel, et al.
Published: (2024)

Improving image synthesis with diffusion-negative sampling
by: Desai, Alakh, et al.
Published: (2024)

Boomerang: Local sampling on image manifolds using diffusion models
by: Luzi, Lorenzo, et al.
Published: (2022)

Improving the color accuracy of lighting estimation models
by: Zhang, Zitian, et al.
Published: (2025)