Inwoo Hwang

I'm currently a 3rd year PhD student in 3D Vision lab at Seoul National University, advised by Prof. Young Min Kim. My research is focused on building practical applications for 3D data, spanning the fields of computer vision and neural rendering. I will join Snap Research as a research intern this summer (May.2024) in the computational imaging team.

Email / CV / LinkedIn / Google Scholar

Publications

Research Keywords: Motion Generation, Text-to-3D, Neural Rendering.

	Text2Scene: Text-driven Indoor Scene Stylization with Part-aware Details Inwoo Hwang, Hyeonwoo Kim, and Young Min Kim CVPR, 2023 Highlight arxiv \| paper \| video \| project page A method to automatically create realistic and part-aware textures for virtual scenes composed of multiple objects.
	Text2PointCloud: Text-Driven Stylization for Sparse PointCloud Inwoo Hwang, Hyeonwoo Kim, Donggeun Lim, Inbum Park, and Young Min Kim Eurographics short, 2023 paper \| video A method to process sparse, noisy point cloud input and generate high-quality stylized output.
	Ev-NeRF: Event Based Neural Radiance Field Inwoo Hwang, Junho Kim, and Young Min Kim WACV, 2023 arxiv \| paper \| video \| project page A Neural Radiance Field (NeRF) derived from event data, which serves as solutions for various event-based applications and highly robust to sensor noise.
	Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition Junho Kim, Inwoo Hwang, and Young Min Kim CVPR, 2022 arxiv \| paper \| video \| project page A simple and effective test-time adaptation algorithms for event-based object recognition. Successfully adapt classifiers to various external conditions.
	MasKGrasp: Mask-based Grasping for Scenes with Multiple General Real-world Objects Junho Lee, Junhwa Hur, Inwoo Hwang, and Young Min Kim IROS, 2022 paper \| video A real world grasping algorithm that can generalize to transparent and opaque obejcts via masks.