1 citations · 1 across the 6 of their papers we have counts for
9 papers
Dual-Output Multi-Exposure HDR Reconstruction via SDR Fusion and Gain Map Inverse Tone Mapping
Jinho Kim, Jinwoo Kim, Seon Joo Kim
We propose DOME-HDR, a dual-output multi-exposure HDR reconstruction framework that jointly produces a perceptually balanced SDR image and a consistent HDR image via gain map inver…
Coarse-to-fine Framework for Generative MEF via Implicit Neural Representation
Sangmin Han, Jinho Kim, Jinwoo Kim +2
Multi-exposure fusion (MEF) expands the luminance range beyond what a single exposure can capture. Combining images taken at different exposure levels requires handling geometric d…
APT: Improving Diffusion Models for High Resolution Image Generation with Adaptive Path Tracing
Sangmin Han, Jinho Jeong, Jinwoo Kim +1
Latent Diffusion Models (LDMs) are generally trained at fixed resolutions, limiting their capability when scaling up to high-resolution images. While training-based approaches addr…
ORIDa: Object-centric Real-world Image Composition Dataset
Jinwoo Kim, Sangmin Han, Jinho Jeong +3
Object compositing, the task of placing and harmonizing objects in images of diverse visual scenes, has become an important task in computer vision with the rise of generative mode…
CCMNet: Leveraging Calibrated Color Correction Matrices for Cross-Camera Color Constancy
Dongyoung Kim, Mahmoud Afifi, Dongyun Kim +2
Computational color constancy, or white balancing, is a key module in a camera's image signal processor (ISP) that corrects color casts from scene lighting. Because this operation…
Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion Models
Jinho Jeong, Sangmin Han, Jinwoo Kim +1
In this paper, we propose LSRNA, a novel framework for higher-resolution (exceeding 1K) image generation using diffusion models by leveraging super-resolution directly in the laten…
Accelerating Image Super-Resolution Networks with Pixel-Level Classification
Jinho Jeong, Jinwoo Kim, Younghyun Jo +1
In recent times, the need for effective super-resolution (SR) techniques has surged, especially for large-scale images ranging 2K to 8K resolutions. For DNN-based SISR, decomposing…
ATTIQA: Generalizable Image Quality Feature Extractor using Attribute-aware Pretraining
Daekyu Kwon, Dongyoung Kim, Sehwan Ki +3
In no-reference image quality assessment (NR-IQA), the challenge of limited dataset sizes hampers the development of robust and generalizable models. Conventional methods address t…
Attentive Illumination Decomposition Model for Multi-Illuminant White Balancing
Dongyoung Kim, Jinwoo Kim, Junsang Yu +1
White balance (WB) algorithms in many commercial cameras assume single and uniform illumination, leading to undesirable results when multiple lighting sources with different chroma…