3 papers
cs.CV2026
The Unreasonable Effectiveness of Text Embedding Interpolation for Continuous Image Steering
Yigit Ekin, Yossi Gandelsman
We present a training-free framework for continuous and controllable image editing at test time for text-conditioned generative models. In contrast to prior approaches that rely on…
cs.CV2025
RoPECraft: Training-Free Motion Transfer with Trajectory-Guided RoPE Optimization on Diffusion Transformers
Ahmet Berke Gokmen, Yigit Ekin, Bahri Batuhan Bilecen +1
We propose RoPECraft, a training-free video motion transfer method for diffusion transformers that operates solely by modifying their rotary positional embeddings (RoPE). We first…
cs.CV2024
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…