Search Results for author: Chiheon Kim

Found 11 papers, 7 papers with code

NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image

no code implementations12 Dec 2023 Yoonwoo Jeong, Jinwoo Lee, Chiheon Kim, Minsu Cho, Doyup Lee

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.

Novel View Synthesis Transfer Learning

Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers

1 code implementation CVPR 2023 Jaehoon Yoo, Semin Kim, Doyup Lee, Chiheon Kim, Seunghoon Hong

However, the transformers are prohibited from directly learning the long-term dependency in videos due to the quadratic complexity of self-attention, and inherently suffering from slow inference time and error propagation due to the autoregressive process.

Video Generation

Generalizable Implicit Neural Representations via Instance Pattern Composers

1 code implementation CVPR 2023 Chiheon Kim, Doyup Lee, Saehoon Kim, Minsu Cho, Wook-Shin Han

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 representation across data instances and generalize it for unseen instances.


Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer

no code implementations9 Jun 2022 Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han

After code stacks in the sequence are randomly masked, Contextual RQ-Transformer is trained to infill the masked code stacks based on the unmasked contexts of the image.

Conditional Image Generation Text-to-Image Generation

Autoregressive Image Generation using Residual Quantization

3 code implementations CVPR 2022 Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han

However, we postulate that previous VQ cannot shorten the code sequence and generate high-fidelity images together in terms of the rate-distortion trade-off.

Conditional Image Generation Quantization +1

torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models

3 code implementations21 Apr 2020 Chiheon Kim, Heungsub Lee, Myungryong Jeong, Woonhyuk Baek, Boogeon Yoon, Ildoo Kim, Sungbin Lim, Sungwoong Kim

We design and implement a ready-to-use library in PyTorch for performing micro-batch pipeline parallelism with checkpointing proposed by GPipe (Huang et al., 2019).

Mining GOLD Samples for Conditional GANs

1 code implementation NeurIPS 2019 Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin

Conditional generative adversarial networks (cGANs) have gained a considerable attention in recent years due to its class-wise controllability and superior quality for complex generation tasks.

Active Learning

Scalable Neural Architecture Search for 3D Medical Image Segmentation

no code implementations13 Jun 2019 Sungwoong Kim, Ildoo Kim, Sungbin Lim, Woonhyuk Baek, Chiheon Kim, Hyungjoo Cho, Boogeon Yoon, Taesup Kim

In this paper, a neural architecture search (NAS) framework is proposed for 3D medical image segmentation, to automatically optimize a neural architecture from a large design space.

Image Segmentation Medical Image Segmentation +3

Fast AutoAugment

11 code implementations NeurIPS 2019 Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim

Data augmentation is an essential technique for improving generalization ability of deep learning models.

Image Augmentation Image Classification

Stochastic Block Model for Hypergraphs: Statistical limits and a semidefinite programming approach

no code implementations8 Jul 2018 Chiheon Kim, Afonso S. Bandeira, Michel X. Goemans

We study the problem of community detection in a random hypergraph model which we call the stochastic block model for $k$-uniform hypergraphs ($k$-SBM).

Community Detection Stochastic Block Model

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