Diffusion models, image super-resolution, and everything: A survey
Diffusion models (DMs) have disrupted the image super-resolution (SR) field and further
closed the gap between image quality and human perceptual preferences. They are easy to …
closed the gap between image quality and human perceptual preferences. They are easy to …
Diffbir: Toward blind image restoration with generative diffusion prior
We present DiffBIR, a general restoration pipeline that could handle different blind image
restoration tasks in a unified framework. DiffBIR decouples blind image restoration problem …
restoration tasks in a unified framework. DiffBIR decouples blind image restoration problem …
Surveying the mllm landscape: A meta-review of current surveys
The rise of Multimodal Large Language Models (MLLMs) has become a transformative force
in the field of artificial intelligence, enabling machines to process and generate content …
in the field of artificial intelligence, enabling machines to process and generate content …
NTIRE 2024 restore any image model (RAIM) in the wild challenge
In this paper we review the NTIRE 2024 challenge on Restore Any Image Model (RAIM) in
the Wild. The RAIM challenge constructed a benchmark for image restoration in the wild …
the Wild. The RAIM challenge constructed a benchmark for image restoration in the wild …
Seesr: Towards semantics-aware real-world image super-resolution
Owe to the powerful generative priors the pre-trained text-to-image (T2I) diffusion models
have become increasingly popular in solving the real-world image super-resolution …
have become increasingly popular in solving the real-world image super-resolution …
Scaling up to excellence: Practicing model scaling for photo-realistic image restoration in the wild
Abstract We introduce SUPIR (Scaling-UP Image Restoration) a groundbreaking image
restoration method that harnesses generative prior and the power of model scaling up …
restoration method that harnesses generative prior and the power of model scaling up …
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 …
Coser: Bridging image and language for cognitive super-resolution
Existing super-resolution (SR) models primarily focus on restoring local texture details often
neglecting the global semantic information within the scene. This oversight can lead to the …
neglecting the global semantic information within the scene. This oversight can lead to the …
Addsr: Accelerating diffusion-based blind super-resolution with adversarial diffusion distillation
Blind super-resolution methods based on stable diffusion showcase formidable generative
capabilities in reconstructing clear high-resolution images with intricate details from low …
capabilities in reconstructing clear high-resolution images with intricate details from low …
Improving image restoration through removing degradations in textual representations
In this paper we introduce a new perspective for improving image restoration by removing
degradation in the textual representations of a given degraded image. Intuitively restoration …
degradation in the textual representations of a given degraded image. Intuitively restoration …