3 citations · 3 across the 5 of their papers we have counts for
6 papers
Dusting the Phantom: Gaussian Allocation for Fading Dynamic Content
Minhyeok Roh, Minseo Lee, Jun Young Jeong +4
Dynamic Gaussian representations have made high-quality, real-time volumetric video increasingly practical, yet challenging motion can still break their reconstruction: small fast-…
Optimized Minimal 4D Gaussian Splatting
Minseo Lee, Byeonghyeon Lee, Lucas Yunkyu Lee +7
4D Gaussian Splatting has emerged as a new paradigm for dynamic scene representation, enabling real-time rendering of scenes with complex motions. However, it faces a major challen…
Sequence Matters: Harnessing Video Models in 3D Super-Resolution
Hyun-kyu Ko, Dongheok Park, Youngin Park +3
3D super-resolution aims to reconstruct high-fidelity 3D models from low-resolution (LR) multi-view images. Early studies primarily focused on single-image super-resolution (SISR)…
Aberration Correcting Vision Transformers for High-Fidelity Metalens Imaging
Byeonghyeon Lee, Youbin Kim, Yongjae Jo +7
Metalens is an emerging optical system with an irreplaceable merit in that it can be manufactured in ultra-thin and compact sizes, which shows great promise in various applications…
Deblurring 3D Gaussian Splatting
Byeonghyeon Lee, Howoong Lee, Xiangyu Sun +2
Recent studies in Radiance Fields have paved the robust way for novel view synthesis with their photorealistic rendering quality. Nevertheless, they usually employ neural networks…
Sharp-NeRF: Grid-based Fast Deblurring Neural Radiance Fields Using Sharpness Prior
Byeonghyeon Lee, Howoong Lee, Usman Ali +1
Neural Radiance Fields (NeRF) have shown remarkable performance in neural rendering-based novel view synthesis. However, NeRF suffers from severe visual quality degradation when th…