6 papers
Vision-aligned Latent Reasoning for Multi-modal Large Language Model
Byungwoo Jeon, Yoonwoo Jeong, Hyunseok Lee +2
Despite recent advancements in Multi-modal Large Language Models (MLLMs) on diverse understanding tasks, these models struggle to solve problems which require extensive multi-step…
RoDyGS: Robust Dynamic Gaussian Splatting for Casual Videos
Junmyeong Lee, Hoseung Choi, Yoonwoo Jeong +1
4D reconstruction from casually captured monocular videos is challenging due to inherent ambiguity in reconstructing dynamic 3D geometry. To address this challenge, we introduce Ro…
Cog3DMap: Multi-View Vision-Language Reasoning with 3D Cognitive Maps
Chanyoung Gwak, Yoonwoo Jeong, Byungwoo Jeon +3
Precise spatial understanding from multi-view images remains a fundamental challenge for Multimodal Large Language Models (MLLMs), as their visual representations are predominantly…
MV-SAM: Multi-view Promptable Segmentation using Pointmap Guidance
Yoonwoo Jeong, Cheng Sun, Yu-Chiang Frank Wang +2
Promptable segmentation has emerged as a powerful paradigm in computer vision, enabling users to guide models in parsing complex scenes with prompts such as clicks, boxes, or textu…
Quantile Rendering: Efficiently Embedding High-dimensional Feature on 3D Gaussian Splatting
Yoonwoo Jeong, Cheng Sun, Frank Wang +2
Recent advancements in computer vision have successfully extended Open-vocabulary segmentation (OVS) to the 3D domain by leveraging 3D Gaussian Splatting (3D-GS). Despite this prog…
NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image
Yoonwoo Jeong, Jinwoo Lee, Chiheon Kim +2
Transfer learning of large-scale Text-to-Image (T2I) models has recently shown impressive potential for Novel View Synthesis (NVS) of diverse objects from a single image. While pre…