1 citations · 2 across the 3 of their papers we have counts for
3 papers
HyperGAN-CLIP: A Unified Framework for Domain Adaptation, Image Synthesis and Manipulation
Abdul Basit Anees, Ahmet Canberk Baykal, Muhammed Burak Kizil +3
Generative Adversarial Networks (GANs), particularly StyleGAN and its variants, have demonstrated remarkable capabilities in generating highly realistic images. Despite their succe…
Evaluating Linguistic Capabilities of Multimodal LLMs in the Lens of Few-Shot Learning
Mustafa Dogan, Ilker Kesen, Iacer Calixto +2
The linguistic capabilities of Multimodal Large Language Models (MLLMs) are critical for their effective application across diverse tasks. This study aims to evaluate the performan…
CLIPAway: Harmonizing Focused Embeddings for Removing Objects via Diffusion Models
Yigit Ekin, Ahmet Burak Yildirim, Erdem Eren Caglar +3
Advanced image editing techniques, particularly inpainting, are essential for seamlessly removing unwanted elements while preserving visual integrity. Traditional GAN-based methods…