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Adding Conditional Control to Text-to-Image Diffusion Models
Paper • 2302.05543 • Published • 40 -
LightIt: Illumination Modeling and Control for Diffusion Models
Paper • 2403.10615 • Published • 16 -
SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions
Paper • 2403.16627 • Published • 20 -
DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric Diffusion
Paper • 2403.17237 • Published • 9
Collections
Discover the best community collections!
Collections including paper arxiv:2404.14239
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Demystifying CLIP Data
Paper • 2309.16671 • Published • 20 -
Model Stock: All we need is just a few fine-tuned models
Paper • 2403.19522 • Published • 10 -
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models
Paper • 2404.01367 • Published • 20 -
On the Scalability of Diffusion-based Text-to-Image Generation
Paper • 2404.02883 • Published • 17
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U-Net: Convolutional Networks for Biomedical Image Segmentation
Paper • 1505.04597 • Published • 7 -
Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images
Paper • 2310.16186 • Published • 2 -
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Paper • 1709.07330 • Published • 2 -
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans
Paper • 1801.08599 • Published • 2
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FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation
Paper • 2403.06775 • Published • 3 -
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Paper • 2010.11929 • Published • 6 -
Data Incubation -- Synthesizing Missing Data for Handwriting Recognition
Paper • 2110.07040 • Published • 2 -
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks
Paper • 1811.00056 • Published • 2
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Random Field Augmentations for Self-Supervised Representation Learning
Paper • 2311.03629 • Published • 6 -
TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models
Paper • 2311.04589 • Published • 18 -
GENOME: GenerativE Neuro-symbOlic visual reasoning by growing and reusing ModulEs
Paper • 2311.04901 • Published • 7 -
Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models
Paper • 2311.06783 • Published • 26