Collection by 
Jan 3
Collections
Discover the best community collections!
Collections including paper arxiv:2206.00364
Collection by 
Jun 18, 2025
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Improved Denoising Diffusion Probabilistic Models
Paper • 2102.09672 • Published • 2 -
Denoising Diffusion Probabilistic Models
Paper • 2006.11239 • Published • 9 -
Denoising Diffusion Implicit Models
Paper • 2010.02502 • Published • 4 -
Diffusion Models Beat GANs on Image Synthesis
Paper • 2105.05233 • Published • 2
Collection by 
Feb 25
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Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Paper • 2312.00752 • Published • 150 -
Elucidating the Design Space of Diffusion-Based Generative Models
Paper • 2206.00364 • Published • 18 -
GLU Variants Improve Transformer
Paper • 2002.05202 • Published • 5 -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 156
Collection by 
Dec 13, 2025
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Rich feature hierarchies for accurate object detection and semantic segmentation
Paper • 1311.2524 • Published • 1 -
DeepPose: Human Pose Estimation via Deep Neural Networks
Paper • 1312.4659 • Published • 1 -
Generative Adversarial Networks
Paper • 1406.2661 • Published • 5 -
scikit-image: Image processing in Python
Paper • 1407.6245 • Published • 1
Collection by 
Apr 7, 2024
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InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation
Paper • 2404.02733 • Published • 22 -
Common Diffusion Noise Schedules and Sample Steps are Flawed
Paper • 2305.08891 • Published • 14 -
Adding Conditional Control to Text-to-Image Diffusion Models
Paper • 2302.05543 • Published • 58 -
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Paper • 2201.09865 • Published
Collection by 
Jan 28
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Neural Ordinary Differential Equations
Paper • 1806.07366 • Published -
Generative Modeling by Estimating Gradients of the Data Distribution
Paper • 1907.05600 • Published -
Score-Based Generative Modeling through Stochastic Differential Equations
Paper • 2011.13456 • Published • 2 -
Elucidating the Design Space of Diffusion-Based Generative Models
Paper • 2206.00364 • Published • 18
Collection by 
Sep 26, 2025
Collection by 
Jul 9, 2024
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Elucidating the Design Space of Diffusion-Based Generative Models
Paper • 2206.00364 • Published • 18 -
Step-by-Step Diffusion: An Elementary Tutorial
Paper • 2406.08929 • Published • 4 -
Denoising Diffusion Probabilistic Models
Paper • 2006.11239 • Published • 9 -
Denoising Diffusion Implicit Models
Paper • 2010.02502 • Published • 4
Collection by 
Apr 29, 2025
-
Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
Paper • 2405.08748 • Published • 23 -
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
Paper • 2405.10300 • Published • 31 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 134 -
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework
Paper • 2405.11143 • Published • 41
Collection by 
Feb 18, 2024
Collection by Jan 3
Collection by Jan 28
-
Neural Ordinary Differential Equations
Paper • 1806.07366 • Published -
Generative Modeling by Estimating Gradients of the Data Distribution
Paper • 1907.05600 • Published -
Score-Based Generative Modeling through Stochastic Differential Equations
Paper • 2011.13456 • Published • 2 -
Elucidating the Design Space of Diffusion-Based Generative Models
Paper • 2206.00364 • Published • 18
Collection by Jun 18, 2025
-
Improved Denoising Diffusion Probabilistic Models
Paper • 2102.09672 • Published • 2 -
Denoising Diffusion Probabilistic Models
Paper • 2006.11239 • Published • 9 -
Denoising Diffusion Implicit Models
Paper • 2010.02502 • Published • 4 -
Diffusion Models Beat GANs on Image Synthesis
Paper • 2105.05233 • Published • 2
Collection by Sep 26, 2025
Collection by Feb 25
-
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Paper • 2312.00752 • Published • 150 -
Elucidating the Design Space of Diffusion-Based Generative Models
Paper • 2206.00364 • Published • 18 -
GLU Variants Improve Transformer
Paper • 2002.05202 • Published • 5 -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 156
Collection by Jul 9, 2024
-
Elucidating the Design Space of Diffusion-Based Generative Models
Paper • 2206.00364 • Published • 18 -
Step-by-Step Diffusion: An Elementary Tutorial
Paper • 2406.08929 • Published • 4 -
Denoising Diffusion Probabilistic Models
Paper • 2006.11239 • Published • 9 -
Denoising Diffusion Implicit Models
Paper • 2010.02502 • Published • 4
Collection by Dec 13, 2025
-
Rich feature hierarchies for accurate object detection and semantic segmentation
Paper • 1311.2524 • Published • 1 -
DeepPose: Human Pose Estimation via Deep Neural Networks
Paper • 1312.4659 • Published • 1 -
Generative Adversarial Networks
Paper • 1406.2661 • Published • 5 -
scikit-image: Image processing in Python
Paper • 1407.6245 • Published • 1
Collection by Apr 29, 2025
-
Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
Paper • 2405.08748 • Published • 23 -
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
Paper • 2405.10300 • Published • 31 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 134 -
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework
Paper • 2405.11143 • Published • 41
Collection by Apr 7, 2024
-
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation
Paper • 2404.02733 • Published • 22 -
Common Diffusion Noise Schedules and Sample Steps are Flawed
Paper • 2305.08891 • Published • 14 -
Adding Conditional Control to Text-to-Image Diffusion Models
Paper • 2302.05543 • Published • 58 -
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Paper • 2201.09865 • Published
Collection by Feb 18, 2024