565 citations · 943 across the 50 of their papers we have counts for
7 papers · 1 filter
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…
HUE Dataset: High-Resolution Event and Frame Sequences for Low-Light Vision
Burak Ercan, Onur Eker, Aykut Erdem +1
Low-light environments pose significant challenges for image enhancement methods. To address these challenges, in this work, we introduce the HUE dataset, a comprehensive collectio…
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…
SonicDiffusion: Audio-Driven Image Generation and Editing with Pretrained Diffusion Models
Burak Can Biner, Farrin Marouf Sofian, Umur Berkay Karakaş +3
We are witnessing a revolution in conditional image synthesis with the recent success of large scale text-to-image generation methods. This success also opens up new opportunities…
Hippocrates: An Open-Source Framework for Advancing Large Language Models in Healthcare
Emre Can Acikgoz, Osman Batur İnce, Rayene Bench +4
The integration of Large Language Models (LLMs) into healthcare promises to transform medical diagnostics, research, and patient care. Yet, the progression of medical LLMs faces ob…
Sequential Compositional Generalization in Multimodal Models
Semih Yagcioglu, Osman Batur İnce, Aykut Erdem +3
The rise of large-scale multimodal models has paved the pathway for groundbreaking advances in generative modeling and reasoning, unlocking transformative applications in a variety…