Differences

This shows you the differences between two versions of the page.

--- ml:diffusion_models [2025/04/06 07:59] – created jmflanig
+++ ml:diffusion_models [2025/06/11 23:30] (current) – [Diffusion Models in NLP] jmflanig
@@ Line 3: / Line 3: @@
 ===== Overviews =====
   * [[https://arxiv.org/pdf/2209.00796|Yang et al 2022 - Diffusion Models: A Comprehensive Survey of Methods and Applications]]
+  * **Tutorials**
+    * [[https://arxiv.org/pdf/2406.08929|Nakkiran et al 2024 - Step-by-Step Diffusion: An Elementary Tutorial]]
+    * [[https://arxiv.org/pdf/2301.11108|McAllester 2023 - On the Mathematics of Diffusion Models]]
+  * **In NLP**
+    * [[https://arxiv.org/pdf/2303.07576|Zhu & Zhao 2023 - Diffusion Models in NLP: A Survey]]
+    * [[https://arxiv.org/pdf/2305.14671|Zou et al 2023 - Survey of Diffusion Models in Natural Language Processing]]
 ===== Key Papers =====
   * [[https://arxiv.org/pdf/2006.11239|Ho et al 2020 - Denoising Diffusion Probabilistic Models]] The one that started it all (for image generation)
+===== Image and Video Generation =====
+  * [[https://arxiv.org/pdf/2104.07636|Saharia et al 2021 - Image Super-Resolution via Iterative Refinement]]
+  * Stable Diffusion: [[https://arxiv.org/pdf/2112.10752|Rombach et al 2021 - High-Resolution Image Synthesis with Latent Diffusion Models]]
+  * [[https://arxiv.org/pdf/2311.15127|Blattmann et al 2023 - Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets]]
 ===== Diffusion Models in NLP =====
+  * [[https://arxiv.org/pdf/2205.14217|Li et al 2022 - Diffusion-LM Improves Controllable Text Generation]]
+  * [[https://arxiv.org/pdf/2302.05737|Zheng et al 2023 - Reparameterized Discrete Diffusion Model for Text Generation]]
+  * [[https://arxiv.org/pdf/2402.07754|Ye et al 2024 - Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models]]
+  * **LLaDA: [[https://arxiv.org/pdf/2502.09992|Nie et al 2025 - Large Language Diffusion Models]]**
+  * [[https://arxiv.org/pdf/2503.09573|Arriola et al 2025 - Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models]]
+  * [[https://arxiv.org/pdf/2505.22165|Li et al 2025 - Unifying Continuous and Discrete Text Diffusion with Non-simultaneous Diffusion Processes]]
+  * [[https://arxiv.org/pdf/2505.22618|Wu et al 2025 - Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding]] Nvidia paper
 ===== Related Pages =====
+  * [[Image Generation]]