Generative Computing Lab
Generative Computing Lab (GCL) at Inha University aims to advancing Generative AI (Gen AI) that can make a significant impact on our world. Harnessing the power of Gen AI, we focus on (but are not limited to) the following areas:
- Gen AI + X: We explore how Gen AI can transform across various domains in our world. We believe Gen AI can drive innovation across industries, from traditional to emerging fields, paving the way for groundbreaking advancements.
- Creative Gen AI: We develop Gen AI-based frameworks that empower non-experts to engage in creative work across media, art, and beyond. Gen AI is revolutionizing productivity in creative design and we strive to ensure that these benefits are accessible to everyone, including everyday users (like me!).
- Ethical Gen AI: We study the societal implications of Gen AI, especially we aim to develop ethical solutions that address and mitigate current concerns regarding the malicious use of this technology.
We are seeking passionate graduate students (or undergraduate interns) who are interested with our goals. If you’re interested, please see the Contact page for more details.
news
| Feb 2025 | One paper Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models has been accepted to CVPR. |
|---|---|
| Feb 2025 | One paper Magnitude Attention-based Dynamic Pruning has been accepted to Expert Systems with Applications (ESWA), and one paper CutMAA: Motion-Aware Data Augmentation for Light Field Super-Resolution has been accepted to IEEE Access. |
| Sep 2024 | The Generative Computing Lab has been opened at Inha University. |
| Feb 2024 | One paper DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models has been accepted to AAAI. |
| Jan 2024 | One paper Data Augmentation for Low-Level Vision: CutBlur and Mixture-of-Augmentation has been accepted to International Journal of Computer Vision (IJCV). |