1 citations · 1 across the 3 of their papers we have counts for
5 papers
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…
3D Stylization via Large Reconstruction Model
Ipek Oztas, Duygu Ceylan, Aysegul Dundar
With the growing success of text or image guided 3D generators, users demand more control over the generation process, appearance stylization being one of them. Given a reference i…
MD-ProjTex: Texturing 3D Shapes with Multi-Diffusion Projection
Ahmet Burak Yildirim, Mustafa Utku Aydogdu, Duygu Ceylan +1
We introduce MD-ProjTex, a method for fast and consistent text-guided texture generation for 3D shapes using pretrained text-to-image diffusion models. At the core of our approach…
Identity Preserving 3D Head Stylization with Multiview Score Distillation
Bahri Batuhan Bilecen, Ahmet Berke Gokmen, Furkan Guzelant +1
3D head stylization transforms realistic facial features into artistic representations, enhancing user engagement across gaming and virtual reality applications. While 3D-aware gen…
Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images
Bahri Batuhan Bilecen, Ahmet Berke Gokmen, Aysegul Dundar
3D GAN inversion aims to project a single image into the latent space of a 3D Generative Adversarial Network (GAN), thereby achieving 3D geometry reconstruction. While there exist…