activity
20232026
collaborators

8 papers

cs.CV2026

Depth-guided Multi-view Exposure Bracketing for HDR Robot Vision

Jinnyeong Kim, Juhyung Choi, Woohyeok Kim +2

Achieving reliable single-shot high dynamic range (HDR) imaging under extreme illumination conditions remains a long-standing challenge, yet no comprehensive benchmark exist for ev…

cs.CV2026

BFS: Back-to-Front Layered Image Synthesis via Knowledge Transfer

Kyoungkook Kang, Gyujin Sim, Sunghyun Cho

As generative models expand the possibilities of visual content creation, layered image synthesis has emerged as a promising direction for controllable and creative editing. Howeve…

cs.CV2026

Dynamic Exposure Burst Image Restoration

Woohyeok Kim, Jaesung Rim, Daeyeon Kim +1

Burst image restoration aims to reconstruct a high-quality image from burst images, which are typically captured using manually designed exposure settings. Although these exposure…

cs.CV2025

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis

Wonjoon Jin, Qi Dai, Chong Luo +2

We present FloVD, a novel video diffusion model for camera-controllable video generation. FloVD leverages optical flow to represent the motions of the camera and moving objects. Th…

cs.CV2024

Generalizable Novel-View Synthesis using a Stereo Camera

Haechan Lee, Wonjoon Jin, Seung-Hwan Baek +1

In this paper, we propose the first generalizable view synthesis approach that specifically targets multi-view stereo-camera images. Since recent stereo matching has demonstrated a…

cs.CV2024

CLIPtone: Unsupervised Learning for Text-based Image Tone Adjustment

Hyeongmin Lee, Kyoungkook Kang, Jungseul Ok +1

Recent image tone adjustment (or enhancement) approaches have predominantly adopted supervised learning for learning human-centric perceptual assessment. However, these approaches…

cs.CV2023

UGPNet: Universal Generative Prior for Image Restoration

Hwayoon Lee, Kyoungkook Kang, Hyeongmin Lee +2

Recent image restoration methods can be broadly categorized into two classes: (1) regression methods that recover the rough structure of the original image without synthesizing hig…

cs.CV2023

SideGAN: 3D-Aware Generative Model for Improved Side-View Image Synthesis

Kyungmin Jo, Wonjoon Jin, Jaegul Choo +2

While recent 3D-aware generative models have shown photo-realistic image synthesis with multi-view consistency, the synthesized image quality degrades depending on the camera pose…