1 citations · 1 across the 3 of their papers we have counts for
4 papers
Noise-Free One-Step LoRA for Task-Driven Image Restoration with Diffusion Priors
Jaeha Kim, Kyoung Mu Lee
Degraded images not only reduce visual quality but also impair downstream high-level vision tasks. Task-driven image restoration (TDIR) addresses this issue by jointly optimizing r…
AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-Resolution
Cheeun Hong, Kyoung Mu Lee
Although image super-resolution (SR) problem has experienced unprecedented restoration accuracy with deep neural networks, it has yet limited versatile applications due to the subs…
Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss
Jaeha Kim, Junghun Oh, Kyoung Mu Lee
In real-world scenarios, image recognition tasks, such as semantic segmentation and object detection, often pose greater challenges due to the lack of information available within…
CNC-Net: Self-Supervised Learning for CNC Machining Operations
Mohsen Yavartanoo, Sangmin Hong, Reyhaneh Neshatavar +1
CNC manufacturing is a process that employs computer numerical control (CNC) machines to govern the movements of various industrial tools and machinery, encompassing equipment rang…