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Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
Paper • 2511.22699 • Published • 238 -
A Survey on Diffusion Language Models
Paper • 2508.10875 • Published • 34 -
Scalable Diffusion Models with Transformers
Paper • 2212.09748 • Published • 18 -
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Paper • 2403.03206 • Published • 71
Collections
Discover the best community collections!
Collections including paper arxiv:2006.11239
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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
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Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
Paper • 2511.22699 • Published • 238 -
A Survey on Diffusion Language Models
Paper • 2508.10875 • Published • 34 -
High-Resolution Image Synthesis with Latent Diffusion Models
Paper • 2112.10752 • Published • 15 -
Denoising Diffusion Probabilistic Models
Paper • 2006.11239 • Published • 9
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Neural Machine Translation by Jointly Learning to Align and Translate
Paper • 1409.0473 • Published • 7 -
Attention Is All You Need
Paper • 1706.03762 • Published • 112 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 26 -
Hierarchical Reasoning Model
Paper • 2506.21734 • Published • 48
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DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning
Paper • 2504.07128 • Published • 87 -
Byte Latent Transformer: Patches Scale Better Than Tokens
Paper • 2412.09871 • Published • 108 -
BitNet b1.58 2B4T Technical Report
Paper • 2504.12285 • Published • 82 -
FAST: Efficient Action Tokenization for Vision-Language-Action Models
Paper • 2501.09747 • Published • 28
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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
-
Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
Paper • 2511.22699 • Published • 238 -
A Survey on Diffusion Language Models
Paper • 2508.10875 • Published • 34 -
Scalable Diffusion Models with Transformers
Paper • 2212.09748 • Published • 18 -
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Paper • 2403.03206 • Published • 71
-
Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
Paper • 2511.22699 • Published • 238 -
A Survey on Diffusion Language Models
Paper • 2508.10875 • Published • 34 -
High-Resolution Image Synthesis with Latent Diffusion Models
Paper • 2112.10752 • Published • 15 -
Denoising Diffusion Probabilistic Models
Paper • 2006.11239 • Published • 9
-
Neural Machine Translation by Jointly Learning to Align and Translate
Paper • 1409.0473 • Published • 7 -
Attention Is All You Need
Paper • 1706.03762 • Published • 112 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 26 -
Hierarchical Reasoning Model
Paper • 2506.21734 • Published • 48
-
DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning
Paper • 2504.07128 • Published • 87 -
Byte Latent Transformer: Patches Scale Better Than Tokens
Paper • 2412.09871 • Published • 108 -
BitNet b1.58 2B4T Technical Report
Paper • 2504.12285 • Published • 82 -
FAST: Efficient Action Tokenization for Vision-Language-Action Models
Paper • 2501.09747 • Published • 28
-
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
-
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