Diffusion Models for Image Restoration and Enhancement--A Comprehensive Survey
Image restoration (IR) has been an indispensable and challenging task in the low-level
vision field, which strives to improve the subjective quality of images distorted by various …
vision field, which strives to improve the subjective quality of images distorted by various …
Exploiting diffusion prior for real-world image super-resolution
We present a novel approach to leverage prior knowledge encapsulated in pre-trained text-
to-image diffusion models for blind super-resolution. Specifically, by employing our time …
to-image diffusion models for blind super-resolution. Specifically, by employing our time …
Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution
Text-based diffusion models have exhibited remarkable success in generation and editing
showing great promise for enhancing visual content with their generative prior. However …
showing great promise for enhancing visual content with their generative prior. However …
Video interpolation with diffusion models
We present VIDIM a generative model for video interpolation which creates short videos
given a start and end frame. In order to achieve high fidelity and generate motions unseen in …
given a start and end frame. In order to achieve high fidelity and generate motions unseen in …
[HTML][HTML] Automated data processing and feature engineering for deep learning and big data applications: a survey
A Mumuni, F Mumuni - Journal of Information and Intelligence, 2024 - Elsevier
Modern approach to artificial intelligence (AI) aims to design algorithms that learn directly
from data. This approach has achieved impressive results and has contributed significantly …
from data. This approach has achieved impressive results and has contributed significantly …
Xpsr: Cross-modal priors for diffusion-based image super-resolution
Diffusion-based methods, endowed with a formidable generative prior, have received
increasing attention in Image Super-Resolution (ISR) recently. However, as low-resolution …
increasing attention in Image Super-Resolution (ISR) recently. However, as low-resolution …
Any-size-diffusion: Toward efficient text-driven synthesis for any-size hd images
Stable diffusion, a generative model used in text-to-image synthesis, frequently encounters
resolution-induced composition problems when generating images of varying sizes. This …
resolution-induced composition problems when generating images of varying sizes. This …
Cobit: A contrastive bi-directional image-text generation model
The field of vision and language has witnessed a proliferation of pre-trained foundation
models. Most existing methods are independently pre-trained with contrastive objective like …
models. Most existing methods are independently pre-trained with contrastive objective like …
You only need one step: Fast super-resolution with stable diffusion via scale distillation
In this paper, we introduce YONOS-SR, a novel stable diffusion based approach for image
super-resolution that yields state-of-the-art results using only a single DDIM step …
super-resolution that yields state-of-the-art results using only a single DDIM step …
Mardini: Masked autoregressive diffusion for video generation at scale
We introduce MarDini, a new family of video diffusion models that integrate the advantages
of masked auto-regression (MAR) into a unified diffusion model (DM) framework. Here, MAR …
of masked auto-regression (MAR) into a unified diffusion model (DM) framework. Here, MAR …