Diffusion Models: A Comprehensive Survey of Methods and Applications

Cites (199)

Items 201–236 of 236

1. gDDIM: Generalized denoising diffusion implicit models
   Qinsheng Zhang, Molei Tao, Yongxin Chen · 2022 · arXiv (Cornell University)
2. Riemannian Diffusion Models
   Chin-Wei Huang, Milad Aghajohari, Avishek Joey Bose, Prakash Panangaden, Aaron C. Courville · 2022 · neural information processing systems
3. Magic3D: High-Resolution Text-to-3D Content Creation
   Chen-Hsuan Lin, Jun Gao, Luming Tang · 2022 · arXiv (Cornell University)
4. TextBox: A Unified, Modularized, and Extensible Framework for Text Generation
   Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Zhipeng Chen, Zhuohao Yu, Wayne Xin Zhao, Ji-Rong Wen · 2021 · Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL Demo)
5. Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations
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6. DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models
   Jaemin Cho, Abhay Zala, Mohit Bansal · 2022 · arXiv (Cornell University)
7. Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models
   Alon Levkovitch, Eliya Nachmani, Lior Wolf · 2022 · Interspeech (USB)
8. Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach
   Dong Chen, Xinda Qi, Yu Zheng, Yuzhen Lu, Yanbo Huang, Zhaojian Li · 2023 · ASABE Annual International Meeting
9. Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data
   Sung‐Won Kim, Heeseung Kim, Sungroh Yoon · 2022 · arXiv (Cornell University)
10. A Continuous Time Framework for Discrete Denoising Models
    Andrew Thomas Campbell, Joe Benton, Valentin De Bortoli, Tom Rainforth, George Deligiannidis, Arnaud Doucet B · 2022 · HAL
11. How Much Is Enough? A Study on Diffusion Times in Score-Based Generative Models
    Giulio Franzese, Simone Rossi, Lixuan Yang, Alessandro Finamore, Dario Rossi, Maurizio Filippone, Pietro Michiardi A · 2023 · Entropy
12. Visual Anomaly Detection for Images: A Survey
    Jie Yang, Ruijie Xu, Zhiquan Qi, Yong Shi · 2021 · arXiv (Cornell University)
13. Evaluating the Fairness Impact of Differentially Private Synthetic Data
    Blake Bullwinkel, Kristen Grabarz, Lily Ke, Scarlett Gong, Tanner, Chris, Allen, Joshua · 2022 · arXiv (Cornell University)
14. Pretrained Language Models for Text Generation: A Survey
    Li, Junyi, Tang, Tianyi, Zhao, Wayne Xin, Wen, Ji-Rong · 2021 · arXiv
15. Guided Diffusion Model for Adversarial Purification from Random Noise
    Quanlin Wu, Hang Ye, Yuntian Gu · 2022 · arXiv (Cornell University)
16. Conditional Simulation Using Diffusion Schrödinger Bridges
    Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet B · 2022 · arXiv (Cornell University)
17. Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance
    Bahjat Kawar, Roy Ganz, Michael Elad · 2022 · arXiv (Cornell University)
18. Simulating Diffusion Bridges with Score Matching
    Jeremy Heng, Valentin De Bortoli, Arnaud Doucet B, James Thornton · 2021 · arXiv (Cornell University)
19. Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction
    Yutong Xie, Quanzheng Li · 2022 · arXiv (Cornell University)
20. Diffsound: Discrete Diffusion Model for Text-to-sound Generation
    Dongchao Yang, Jianwei Yu, Helin Wang · 2022 · arXiv (Cornell University)
21. Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation
    Ye Zhu, Yu Wu, Kyle Olszewski · 2022 · arXiv (Cornell University)
22. ItôWave: Itô Stochastic Differential Equation is all You Need for Wave Generation
    Shoule Wu, Ziqiang Shi · 2022 · IEEE International Conference on Acoustics Speech and Signal Processing
23. Metal Inpainting in CBCT Projections Using Score-based Generative Model
    Siyuan Mei, Fuxin Fan, Andreas Maier · 2023 · IEEE International Symposium on Biomedical Imaging (ISBI)
24. TextBox: A Unified, Modularized, and Extensible Framework for Text Generation
    Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Zhipeng Chen, Zhuohao Yu, Wayne Xin Zhao, Ji-Rong Wen · 2021 · arXiv (Cornell University)
25. MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion
    Hyungjin Chung, Eun Sun Lee, Jong Chul Ye · 2022 · arXiv (Cornell University)
26. Exploring Chemical Space with Score-based Out-of-distribution Generation
    Seul Lee, Jaehyeong Jo, Sung Ju Hwang · 2022 · arXiv (Cornell University)
27. KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP
    Yu-Fei Wang, Jiayi Zheng, Can Xu, Xiu-Bo Geng, Tao Shen, Chongyang Tao, Daxin Jiang · 2022 · International Conference on Learning Representations
28. EdiTTS: Score-based Editing for Controllable Text-to-Speech
    Jaesung Tae, Hyeongju Kim, Taesu Kim · 2021 · arXiv (Cornell University)
29. Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach
    Dong Chen, Xinda Qi, Yu Zheng · 2022 · arXiv (Cornell University)
30. Don't Play Favorites: Minority Guidance for Diffusion Models
    Soobin Um, Lee, Suhyeon, Ye, Jong Chul · 2023 · arXiv (Cornell University)
31. Metal Inpainting in CBCT Projections Using Score-based Generative Model
    Siyuan Mei, Fuxin Fan, Andreas Maier · 2022 · arXiv (Cornell University)
32. AugDiff: Diffusion based Feature Augmentation for Multiple Instance Learning in Whole Slide Image
    Zhuchen Shao, Liuxi Dai, Yifeng Wang · 2023 · arXiv (Cornell University)
33. Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning
    Ling Qiang Yang, Shenda Hong · 2022 · arXiv (Cornell University)
34. Applying Regularized Schrödinger-Bridge-Based Stochastic Process in Generative Modeling
    Ki-Ung Song · 2022 · arXiv (Cornell University)
35. Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models
    Alon Levkovitch, Eliya Nachmani, Lior Wolf · 2022 · arXiv (Cornell University)
36. OPT: Open Pre-trained Transformer Language Models
    Zhang, Susan, Roller, Stephen, Goyal, Naman, Artetxe, Mikel, Chen, Moya, Chen, Shuohui, Dewan, Christopher, Diab, Mona, Li, Xian, Lin, Xi Victoria et al. · 2022 · arXiv