3 citations · 7 across the 9 of their papers we have counts for
11 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…
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…
Bayesian Conditioned Diffusion Models for Inverse Problems
Alper Güngör, Bahri Batuhan Bilecen, Tolga Çukur
Diffusion models have recently been shown to excel in many image reconstruction tasks that involve inverse problems based on a forward measurement operator. A common framework uses…
Reference-Based 3D-Aware Image Editing with Triplanes
Bahri Batuhan Bilecen, Yigit Yalin, Ning Yu +1
Generative Adversarial Networks (GANs) have emerged as powerful tools for high-quality image generation and real image editing by manipulating their latent spaces. Recent advanceme…
Towards Clip-Free Quantized Super-Resolution Networks: How to Tame Representative Images
Alperen Kalay, Bahri Batuhan Bilecen, Mustafa Ayazoglu
Super-resolution (SR) networks have been investigated for a while, with their mobile and lightweight versions gaining noticeable popularity recently. Quantization, the procedure of…
Diverse Inpainting and Editing with GAN Inversion
Ahmet Burak Yildirim, Hamza Pehlivan, Bahri Batuhan Bilecen +1
Recent inversion methods have shown that real images can be inverted into StyleGAN's latent space and numerous edits can be achieved on those images thanks to the semantically rich…
Bicubic++: Slim, Slimmer, Slimmest -- Designing an Industry-Grade Super-Resolution Network
Bahri Batuhan Bilecen, Mustafa Ayazoglu
We propose a real-time and lightweight single-image super-resolution (SR) network named Bicubic++. Despite using spatial dimensions of the input image across the whole network, Bic…
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report
Andrey Ignatov, Radu Timofte, Maurizio Denna +93
Image super-resolution is a common task on mobile and IoT devices, where one often needs to upscale and enhance low-resolution images and video frames. While numerous solutions hav…
XCAT -- Lightweight Quantized Single Image Super-Resolution using Heterogeneous Group Convolutions and Cross Concatenation
Mustafa Ayazoglu, Bahri Batuhan Bilecen
We propose a lightweight, single image super-resolution network for mobile devices, named XCAT. XCAT introduces Heterogeneous Group Convolution Blocks with Cross Concatenations (HX…
Efficient Multi-Purpose Cross-Attention Based Image Alignment Block for Edge Devices
Bahri Batuhan Bilecen, Alparslan Fisne, Mustafa Ayazoglu
Image alignment, also known as image registration, is a critical block used in many computer vision problems. One of the key factors in alignment is efficiency, as inefficient alig…