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Collections including paper arxiv:2408.12245
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Zero-shot Image Editing with Reference Imitation
Paper • 2406.07547 • Published • 30 -
Scalable Autoregressive Image Generation with Mamba
Paper • 2408.12245 • Published • 23 -
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 28 -
Training-free Regional Prompting for Diffusion Transformers
Paper • 2411.02395 • Published • 22
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Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
Paper • 2406.06525 • Published • 64 -
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
Paper • 2405.21048 • Published • 12 -
Scalable Autoregressive Image Generation with Mamba
Paper • 2408.12245 • Published • 23 -
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation
Paper • 2410.08159 • Published • 23
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MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
Paper • 2311.17049 • Published -
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Paper • 2405.04434 • Published • 13 -
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision
Paper • 2303.17376 • Published -
Sigmoid Loss for Language Image Pre-Training
Paper • 2303.15343 • Published • 4
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Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks
Paper • 2402.04248 • Published • 30 -
Scavenging Hyena: Distilling Transformers into Long Convolution Models
Paper • 2401.17574 • Published • 15 -
Scalable Autoregressive Image Generation with Mamba
Paper • 2408.12245 • Published • 23 -
Jamba-1.5: Hybrid Transformer-Mamba Models at Scale
Paper • 2408.12570 • Published • 29
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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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Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Paper • 2401.09048 • Published • 9 -
Improving fine-grained understanding in image-text pre-training
Paper • 2401.09865 • Published • 16 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 59 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 73
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Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning
Paper • 2311.10709 • Published • 24 -
Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control
Paper • 2405.12970 • Published • 22 -
FIFO-Diffusion: Generating Infinite Videos from Text without Training
Paper • 2405.11473 • Published • 53 -
stabilityai/stable-diffusion-3-medium
Text-to-Image • Updated • 59.9k • 4.56k