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Scalable Diffusion Models with Transformers
Paper • 2212.09748 • Published • 16 -
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Paper • 2311.15127 • Published • 12 -
Learning Transferable Visual Models From Natural Language Supervision
Paper • 2103.00020 • Published • 11 -
U-Net: Convolutional Networks for Biomedical Image Segmentation
Paper • 1505.04597 • Published • 8
Collections
Discover the best community collections!
Collections including paper arxiv:2411.07126
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 25 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 12 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 38 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 19
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LinFusion: 1 GPU, 1 Minute, 16K Image
Paper • 2409.02097 • Published • 31 -
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
Paper • 2409.11406 • Published • 25 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 121 -
Segment Anything with Multiple Modalities
Paper • 2408.09085 • Published • 21
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Controllable Text Generation for Large Language Models: A Survey
Paper • 2408.12599 • Published • 62 -
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations
Paper • 2408.12590 • Published • 34 -
Real-Time Video Generation with Pyramid Attention Broadcast
Paper • 2408.12588 • Published • 15 -
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 56