5 papers
Moiré Zero: An Efficient and High-Performance Neural Architecture for Moiré Removal
Seungryong Lee, Woojeong Baek, Younghyun Kim +4
Moiré patterns, caused by frequency aliasing between fine repetitive structures and a camera sensor's sampling process, have been a significant obstacle in various real-world appli…
PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations
Namgyu Kang, Jaemin Oh, Youngjoon Hong +1
The numerical approximation of partial differential equations (PDEs) using neural networks has seen significant advancements through Physics-Informed Neural Networks (PINNs). Despi…
DiffuseHigh: Training-free Progressive High-Resolution Image Synthesis through Structure Guidance
Younghyun Kim, Geunmin Hwang, Junyu Zhang +1
Large-scale generative models, such as text-to-image diffusion models, have garnered widespread attention across diverse domains due to their creative and high-fidelity image gener…
Parameter-Efficient Instance-Adaptive Neural Video Compression
Hyunmo Yang, Seungjun Oh, Eunbyung Park
Learning-based Neural Video Codecs (NVCs) have emerged as a compelling alternative to standard video codecs, demonstrating promising performance, and simple and easily maintainable…
CodecNeRF: Toward Fast Encoding and Decoding, Compact, and High-quality Novel-view Synthesis
Gyeongjin Kang, Younggeun Lee, Seungjun Oh +1
Neural Radiance Fields (NeRF) have achieved huge success in effectively capturing and representing 3D objects and scenes. However, to establish a ubiquitous presence in everyday me…