1 citations · 1 across the 2 of their papers we have counts for
4 papers
BeyondMasks: Evaluating Causal and Physical Consistency in Video Object Removal
Yigit Ekin, Enes Sanli, Aykut Erdem +2
Recent advances in generative video models have significantly improved visual realism in video object removal, yet evaluation protocols still focus on masked region fidelity, treat…
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…
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…
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…