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Bilkent University
- Ankara, Turkey
- www.abyildirim.com
- in/ahmet-burak-yildirim
- @_abyildirim
Stars
Simple and readable code for training and sampling from diffusion models
Official implementaiton of RefAM: Attention Magnets for Zero-Shot Referral Segmentaiton
[NIPS2025] RoPECraft: Training-Free Motion Transfer with Trajectory-Guided RoPE Optimization on Diffusion Transformers
Interactive visualizations of the geometric intuition behind diffusion models.
[SIGGRAPH 2025] 3D Stylization via Large Reconstruction Model
Text-guided 3D texture generation using training-free multi-diffusion in UV space.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
[ICCV 2025] Identity Preserving 3D Head Stylization with Multiview Score Distillation
🪐 Objaverse-XL is a Universe of 10M+ 3D Objects. Contains API Scripts for Downloading and Processing!
Workshop for computer scinece students to learn the basics of github API
[NIPS2024] Official Code Repository for "Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images"
Connect to Slurm Compute Nodes Directly from VSCode. Do your debugging and development easily.
Contrast is All You Need For High-Fidelity Text-to-Image Diffusion Models [CVPR 2024]
Official implementation of project NoiseCLR, published at CVPR 2024
PyTorch implementation of One-step Diffusion with Distribution Matching Distillation
Official code for "Amodal Completion via Progressive Mixed Context Diffusion" [CVPR 2024 Highlight]
METU CENG796 Deep Generative Models 2024-Spring Course Projects
[NeurIPS 2024] Official Implementation of CLIPAway
[CVPR 2025 Highlight] Reference-Based 3D-Aware Image Editing with Triplanes
[ECCV 2024] Official Repository for DiffiT: Diffusion Vision Transformers for Image Generation
DivSem proposes an end-to-end framework that can encode visible and partially visible objects with a novel mechanism to achieve consistency in the style encoding.
Foundational Models for State-of-the-Art Speech and Text Translation
A collection of pre-trained StyleGAN 2 models to download
PyTorch tutorial notebooks for beginners.
A novel inpainting framework that can remove objects from images based on the instructions given as text prompts.
Implementation for the works "VecGAN: Image-to-Image Translation with Interpretable Latent Directions" (ECCV 2022) and "Face Attribute Editing with Disentangled Latent Vectors"