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@naver-ai lab
- Seoul, Korea
- http:https://sanghyukchun.github.io/home
- @SanghyukChun
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Official Pytorch implementation of LinCIR: Language-only Training of Zero-shot Composed Image Retrieval (CVPR 2024)
[ICCV 2023] Few shot font generation via transferring similarity guided global and quantization local styles
Uncertainty-aware representation learning (URL) benchmark
Official Pytorch implementation of "Graphit: A Unified Framework for Diverse Image Editing Tasks"
Official Pytorch implementation of "Improved Probabilistic Image-Text Representations" (ICLR 2024)
Official Pytorch implementation of "CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion"
Robust Benchmark MS-COCO to Stress-test Robustness of Image-Text Matching Models
Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models"
Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
Official Pytorch implementation of C3-GAN (Spotlight at ICLR 2022)
Extended COCO Validation (ECCV) Caption dataset (ECCV 2022)
Official PyTorch implementation of "Large-scale Bilingual Language-Image Contrastive Learning" (ICLRW 2022)
Master the command line, in one page
Official PyTorch implementation of MIRO (ECCV 2022)
The unified repository for few-shot font generation methods. This repository includes FUNIT (ICCV'19), DM-Font (ECCV'20), LF-Font (AAAI'21) and MX-Font (ICCV'21).
The Paper List of Large Multi-Modality Model, Parameter-Efficient Finetuning, Vision-Language Pretraining, Conventional Image-Text Matching for Preliminary Insight.
Learning Features with Parameter-Free Layers, ICLR 2022