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b/2024/2024_12_09_Diffusion_Based_Scene_Graph_to_Image_Generation_with_Masked_Contrastive_Pre_Training/README.md @@ -0,0 +1,8 @@ +# Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training + +## Abstract + +During the previous seminar, we discussed how diffusion models can modify existing images using textual prompts. Following Monday's seminar, we will continue exploring how machine learning models understand the spatial structure of images from the perspective of diffusion models. Our primary focus will be on a 2022 CVPR paper introducing SGDiff, a novel method that leverages graph-structured inputs for image generation by learning scene representation. It trains a separate encoder of such conditioning, relying on two loss functions: masked autoencoding loss and contrastive loss. Later on, we will also touch on other generative methods capable of understanding the spatiality of images. +## Source paper + +[Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training](https://arxiv.org/abs/2211.11138) From 635fa1dfc950decb512a99bc5fa61bdbe18a89b1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tymoteusz=20Kwieci=C5=84ski?= <31191783+Fersoil@users.noreply.github.com> Date: Sun, 19 Jan 2025 12:14:44 +0100 Subject: [PATCH 2/2] add hyperlink --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 144e11a..7e06dc6 100644 --- a/README.md +++ b/README.md @@ -18,7 +18,7 @@ Join us at https://meet.drwhy.ai. * 18.11 - User study: Visual Counterfactual Explanations for Improved Model Understanding - Bartek Sobieski * 25.11 - [Vision Transformers provably learn spatial structure](https://github.com/MI2DataLab/MI2DataLab_Seminarium/tree/master/2024/2024_11_25_Vision_Transformers_provably_learn_spatial_structure) - Vladimir Zaigrajew * 02.12 - Null-text Inversion for Editing Real Images using Guided Diffusion Models - Dawid Płudowski -* 09.12 - Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training - Tymoteusz Kwieciński +* 09.12 - [Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training](https://github.com/MI2DataLab/MI2DataLab_Seminarium/tree/master/2024/2024_12_09_Diffusion_Based_Scene_Graph_to_Image_Generation_with_Masked_Contrastive_Pre_Training) - Tymoteusz Kwieciński * 20.01 - Connecting counterfactual and attributions modes of explanation - Jan Jakubik ## Year 2023/2024