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The Hebrew University of Jerusalem
- https://omriavrahami.com
Stars
Official implementation for "Story2Board: A Training‑Free Approach for Expressive Storyboard Generation"
Evaluation of concept erasing diffusion models should include latent likelihood
A collection of resources on personalized image generation.
Official implementation for "Stable Flow: Vital Layers for Training-Free Image Editing" [CVPR 2025]
[AAAI 2025] Official Implementation for "Click2Mask: Local Editing with Dynamic Mask Generation" Paper.
collection of diffusion model papers categorized by their subareas
Official PyTorch Implementation for the "Unsupervised Model Tree Heritage Recovery" paper (ICLR 2025).
Unofficial implementation of the paper "The Chosen One: Consistent Characters in Text-to-Image Diffusion Models"
Official implementation for "Break-A-Scene: Extracting Multiple Concepts from a Single Image" [SIGGRAPH Asia 2023]
Official repository for "Speaking Style Conversion With Discrete Self-Supervised Units" (EMNLP 2023). https://arxiv.org/abs/2212.09730
This repo contains the official PyTorch implementation of "Audio Super Resolution in the Spectral Domain" (ICASSP 2023)
Collection of advice for prospective and current PhD students
Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.
This repo contains the official PyTorch implementation of "A Systematic Comparison of Phonetic Aware Techniques for Speech Enhancement" (Interspeech 2022)
Official PyTorch implementation for ״ lassification-Regression for Chart Comprehension״
[CVPR2022 - Oral] Official Jax Implementation of Learned Queries for Efficient Local Attention
Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]
Official implementation for "Blended Diffusion for Text-driven Editing of Natural Images" [CVPR 2022]
Official Implementation for the "Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection" paper (VAND Workshop - CVPR 2023).
Generative Latent Implicit Conditional Optimization when Learning from Small Sample ICPR 20'
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
StyleGAN2-ADA - Official PyTorch implementation
Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch
nagadomi / distro
Forked from torch/distroUnofficial maintenance repository of Torch7. It supports CUDA10.1, Volta, Turing, Docker https://hub.docker.com/r/nagadomi/torch7