Search Results for author: Andranik Sargsyan

Found 3 papers, 3 papers with code

HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models

1 code implementation21 Dec 2023 Hayk Manukyan, Andranik Sargsyan, Barsegh Atanyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi

Recent progress in text-guided image inpainting, based on the unprecedented success of text-to-image diffusion models, has led to exceptionally realistic and visually plausible results.

2k Image Inpainting +1

MI-GAN: A Simple Baseline for Image Inpainting on Mobile Devices

1 code implementation ICCV 2023 Andranik Sargsyan, Shant Navasardyan, Xingqian Xu, Humphrey Shi

In this paper we present a simple image inpainting baseline, Mobile Inpainting GAN (MI-GAN), which is approximately one order of magnitude computationally cheaper and smaller than existing state-of-the-art inpainting models, and can be efficiently deployed on mobile devices.

Efficient Neural Network Image Inpainting +1

Image Completion with Heterogeneously Filtered Spectral Hints

1 code implementation7 Nov 2022 Xingqian Xu, Shant Navasardyan, Vahram Tadevosyan, Andranik Sargsyan, Yadong Mu, Humphrey Shi

We also prove the effectiveness of our design via ablation studies, from which one may notice that the aforementioned challenges, i. e. pattern unawareness, blurry textures, and structure distortion, can be noticeably resolved.

Image Inpainting

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