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Diffusion-Models-Seminar

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We are switching into an irregular meeting, where we discuss the recent literature or research problems concerning diffusion models (or sometimes generative modeling in general). If you want to join our group, please send your CV to [email protected].

Date Topic Presenter Summary Video
14th November, 2021 Denoising Diffusion Probabilistic Models Sangyun Lee Summary Video
20th November, 2021 Improved Denoising Diffusion Probabilistic Models Junha Hyung Summary Video
20th November, 2021 Diffusion Models Beat GANs on Image Synthesis Sangyun Lee Summary Video
28th November, 2021 ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models Youngin Cho Summary Video
28th November, 2021 Deep Unsupervised Learning using Non equilibrium Thermodynamics Sejik Park Summary Video
05th December, 2021 SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models Sanghyeon Lee Summary Video
12th December, 2021 Vector Quantized Diffusion Model for Text-to-Image Synthesis Jiyoung Lee Summary Video
19th December, 2021 Score-based Generative Modelling through stochastic differential equations Hyungjin Chung Summary Video
26th December, 2021 TACKLING THE GENERATIVE LEARNING TRILEMMA WITH DENOISING DIFFUSION GANS Sangyun Lee Summary Video
26th December, 2021 CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation Heejoon Koo Summary
2nd January, 2022 GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Junha Hyung Summary Video
9th January, 2022 Denoising Diffusion Implicit Models Sejik Park Summary Video
9th January, 2022 HIGH FIDELITY VISUALIZATION OF WHAT YOUR SELF-SUPERVISED REPRESENTATION KNOWS ABOUT Jiyoung Lee Summary Video
16th January, 2022 Score-Based Generative Modeling with Critically-Damped Langevin Diffusion Hyungjin Chung Summary Video
23rd January, 2022 Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting Heejoon Koo Summary Video
30th January, 2022 Generative modeling by estimating gradients of the data distribution Chanwoo Park Summary Video
6th February, 2022 Variational Diffusion Models Sangyun Lee Summary Video
13th February, 2022 Denoising Diffusion Restoration Models Gwanghyun Kim Summary Video
13th February, 2022 Diffusion Normalizing Flow Sejik Park Summary Video
20th February, 2022 Score-based generative modeling in latent space Hyungjin Chung Summary Video
27th February, 2022 Blended Diffusion for Text-driven Editing of Natural Images Heejook Koo Summary Video
6th March, 2022 Score based Generative Modeling of Graphs via the system of Stochastic Differential Equations Chanwoo Park Summary Video
13th March, 2022 High-Resolution Image Synthesis with Latent Diffusion Models Sangyun Lee Summary Video
20th March, 2022 Score-Based Point Cloud Denoising Jinhwan Seok Summary Video
27th March, 2022 DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation Gwanghyun Kim Summary Video
3rd April, 2022 Structured Denoising Diffusion Models in Discrete State-Spaces Hyungjin Chung Summary Video
17th April, 2022 Recent Trends In Diffusion-Based Text-Conditional Image Synthesis Sangyun Lee Summary
Summary (English)		 Video
8th May, 2022 Solving Inverse Problems in Medical Imaging with Score-Based Generative Models Hyungjin Chung Video
22nd May, 2022 Derivation of Probabilistic Flow ODE / Kolmogorov forward equation (Fokker Planck equation) Sangyun Lee Summary Video
22nd May, 2022 Retreival-Augmented Diffusion model Sungho Park Summary Video
29th May, 2022 Generating High Fidelity Data from Low-density Regions using Diffusion Models Gwanghyun Kim Summary Video
5th June, 2022 Diffusion Models for Video Hyungjin Chung Summary Video
10th July, 2022 Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Gwanghyun Kim Summary Video
17th July, 2022 Elucidating the Design Space of Diffusion-Based Generative Models Hyungjin Chung Summary Video
31st July, 2022 Estimating High Order Gradients of the Data Distribution by Denoising Sangyun Lee Summary
25th September, 2022 Improving Diffusion Models for Inverse Problems using Manifold Constraints Hyungjin Chung Summary Video
Open Source Agenda is not affiliated with "Diffusion Models Seminar" Project. README Source: sangyun884/Diffusion-Models-Seminar
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