12 citations · 17 across the 4 of their papers we have counts for
4 papers
HYPNOS : Highly Precise Foreground-focused Diffusion Finetuning for Inanimate Objects
Oliverio Theophilus Nathanael, Jonathan Samuel Lumentut, Nicholas Hans Muliawan +4
In recent years, personalized diffusion-based text-to-image generative tasks have been a hot topic in computer vision studies. A robust diffusion model is determined by its ability…
3DHR-Co: A Collaborative Test-time Refinement Framework for In-the-Wild 3D Human-Body Reconstruction Task
Jonathan Samuel Lumentut, Kyoung Mu Lee
The field of 3D human-body reconstruction (abbreviated as 3DHR) that utilizes parametric pose and shape representations has witnessed significant advancements in recent years. Howe…
Human and Scene Motion Deblurring using Pseudo-blur Synthesizer
Jonathan Samuel Lumentut, In Kyu Park
Present-day deep learning-based motion deblurring methods utilize the pair of synthetic blur and sharp data to regress any particular framework. This task is designed for directly…
Fast and Full-Resolution Light Field Deblurring using a Deep Neural Network
Jonathan Samuel Lumentut, Tae Hyun Kim, Ravi Ramamoorthi +1
Restoring a sharp light field image from its blurry input has become essential due to the increasing popularity of parallax-based image processing. State-of-the-art blind light fie…