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Attention Is All You Need
Paper • 1706.03762 • Published • 121 -
Scaling Laws for Neural Language Models
Paper • 2001.08361 • Published • 10 -
Training Compute-Optimal Large Language Models
Paper • 2203.15556 • Published • 11 -
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT
Paper • 2210.04186 • Published
Collections
Discover the best community collections!
Collections including paper arxiv:2511.22699
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Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
Paper • 2511.22699 • Published • 245 -
A Survey on Diffusion Language Models
Paper • 2508.10875 • Published • 34 -
High-Resolution Image Synthesis with Latent Diffusion Models
Paper • 2112.10752 • Published • 17 -
Denoising Diffusion Probabilistic Models
Paper • 2006.11239 • Published • 9
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Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
Paper • 2511.22699 • Published • 245 -
SAM 3: Segment Anything with Concepts
Paper • 2511.16719 • Published • 134 -
Show, Don't Tell: Morphing Latent Reasoning into Image Generation
Paper • 2602.02227 • Published • 10
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Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Paper • 2401.09048 • Published • 10 -
Improving fine-grained understanding in image-text pre-training
Paper • 2401.09865 • Published • 18 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 62 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 78
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Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
Paper • 2511.22699 • Published • 245 -
A Survey on Diffusion Language Models
Paper • 2508.10875 • Published • 34 -
Scalable Diffusion Models with Transformers
Paper • 2212.09748 • Published • 17 -
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Paper • 2403.03206 • Published • 71
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TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times
Paper • 2512.16093 • Published • 97 -
Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
Paper • 2511.22699 • Published • 245 -
DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI
Paper • 2512.16676 • Published • 222 -
Sharp Monocular View Synthesis in Less Than a Second
Paper • 2512.10685 • Published • 29
-
Attention Is All You Need
Paper • 1706.03762 • Published • 121 -
Scaling Laws for Neural Language Models
Paper • 2001.08361 • Published • 10 -
Training Compute-Optimal Large Language Models
Paper • 2203.15556 • Published • 11 -
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT
Paper • 2210.04186 • Published
-
Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Paper • 2401.09048 • Published • 10 -
Improving fine-grained understanding in image-text pre-training
Paper • 2401.09865 • Published • 18 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 62 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 78
-
Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
Paper • 2511.22699 • Published • 245 -
A Survey on Diffusion Language Models
Paper • 2508.10875 • Published • 34 -
Scalable Diffusion Models with Transformers
Paper • 2212.09748 • Published • 17 -
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 • 245 -
A Survey on Diffusion Language Models
Paper • 2508.10875 • Published • 34 -
High-Resolution Image Synthesis with Latent Diffusion Models
Paper • 2112.10752 • Published • 17 -
Denoising Diffusion Probabilistic Models
Paper • 2006.11239 • Published • 9
-
TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times
Paper • 2512.16093 • Published • 97 -
Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
Paper • 2511.22699 • Published • 245 -
DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI
Paper • 2512.16676 • Published • 222 -
Sharp Monocular View Synthesis in Less Than a Second
Paper • 2512.10685 • Published • 29
-
Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
Paper • 2511.22699 • Published • 245 -
SAM 3: Segment Anything with Concepts
Paper • 2511.16719 • Published • 134 -
Show, Don't Tell: Morphing Latent Reasoning into Image Generation
Paper • 2602.02227 • Published • 10