no code implementations • 22 Dec 2024 • Jio Oh, Geon Heo, Seungjun Oh, Jindong Wang, Xing Xie, Steven Euijong Whang
Despite the recent advancement of Large Langauge Models (LLMs), they struggle with complex queries often involving multiple conditions, common in real-world scenarios.
no code implementations • 9 Dec 2024 • Seungtae Nam, Xiangyu Sun, Gyeongjin Kang, Younggeun Lee, Seungjun Oh, Eunbyung Park
Generalized feed-forward Gaussian models have achieved significant progress in sparse-view 3D reconstruction by leveraging prior knowledge from large multi-view datasets.
1 code implementation • 14 May 2024 • Hyunmo Yang, Seungjun Oh, Eunbyung Park
Inspired by the remarkable success of parameter-efficient fine-tuning on large-scale neural network models, we propose to use a lightweight adapter module that can be easily attached to the pretrained NVCs and fine-tuned for test video sequences.
no code implementations • 7 Apr 2024 • Gyeongjin Kang, Younggeun Lee, Seungjun Oh, Eunbyung Park
Neural Radiance Fields (NeRF) have achieved huge success in effectively capturing and representing 3D objects and scenes.