20 citations · 40 across the 18 of their papers we have counts for
18 papers
DeblurGS: Gaussian Splatting for Camera Motion Blur
Jeongtaek Oh, Jaeyoung Chung, Dongwoo Lee +1
Although significant progress has been made in reconstructing sharp 3D scenes from motion-blurred images, a transition to real-world applications remains challenging. The primary o…
Joint Reconstruction of 3D Human and Object via Contact-Based Refinement Transformer
Hyeongjin Nam, Daniel Sungho Jung, Gyeongsik Moon +1
Human-object contact serves as a strong cue to understand how humans physically interact with objects. Nevertheless, it is not widely explored to utilize human-object contact infor…
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…
Rethinking RGB Color Representation for Image Restoration Models
Jaerin Lee, JoonKyu Park, Sungyong Baik +1
Image restoration models are typically trained with a pixel-wise distance loss defined over the RGB color representation space, which is well known to be a source of blurry and unr…
RHOBIN Challenge: Reconstruction of Human Object Interaction
Xianghui Xie, Xi Wang, Nikos Athanasiou +17
Modeling the interaction between humans and objects has been an emerging research direction in recent years. Capturing human-object interaction is however a very challenging task d…