517 citations · 746 across the 18 of their papers we have counts for
18 papers
Variational Distribution Learning for Unsupervised Text-to-Image Generation
Minsoo Kang, Doyup Lee, Jiseob Kim +2
We propose a text-to-image generation algorithm based on deep neural networks when text captions for images are unavailable during training. In this work, instead of simply generat…
Generalizable Implicit Neural Representations via Instance Pattern Composers
Chiheon Kim, Doyup Lee, Saehoon Kim +2
Despite recent advances in implicit neural representations (INRs), it remains challenging for a coordinate-based multi-layer perceptron (MLP) of INRs to learn a common representati…
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer
Doyup Lee, Chiheon Kim, Saehoon Kim +2
Although autoregressive models have achieved promising results on image generation, their unidirectional generation process prevents the resultant images from fully reflecting glob…
Autoregressive Image Generation using Residual Quantization
Doyup Lee, Chiheon Kim, Saehoon Kim +2
For autoregressive (AR) modeling of high-resolution images, vector quantization (VQ) represents an image as a sequence of discrete codes. A short sequence length is important for a…
Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity
Byungseok Roh, JaeWoong Shin, Wuhyun Shin +1
DETR is the first end-to-end object detector using a transformer encoder-decoder architecture and demonstrates competitive performance but low computational efficiency on high reso…
Automated Learning Rate Scheduler for Large-batch Training
Chiheon Kim, Saehoon Kim, Jongmin Kim +2
Large-batch training has been essential in leveraging large-scale datasets and models in deep learning. While it is computationally beneficial to use large batch sizes, it often re…