Search Results for author: Seungjun Oh

Found 4 papers, 1 papers with code

Better Think with Tables: Leveraging Tables to Enhance Large Language Model Comprehension

no code implementations22 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.

Language Modeling Language Modelling +1

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction

no code implementations9 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.

3D Reconstruction

Parameter-Efficient Instance-Adaptive Neural Video Compression

1 code implementation14 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.

parameter-efficient fine-tuning Video Compression

CodecNeRF: Toward Fast Encoding and Decoding, Compact, and High-quality Novel-view Synthesis

no code implementations7 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.

Decoder NeRF +1

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