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Collections including paper arxiv:2403.12019
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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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ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models
Paper • 2403.01807 • Published • 7 -
TripoSR: Fast 3D Object Reconstruction from a Single Image
Paper • 2403.02151 • Published • 12 -
OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
Paper • 2403.01779 • Published • 28 -
MagicClay: Sculpting Meshes With Generative Neural Fields
Paper • 2403.02460 • Published • 6
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TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing
Paper • 2312.05605 • Published • 1 -
VMamba: Visual State Space Model
Paper • 2401.10166 • Published • 38 -
Rethinking Patch Dependence for Masked Autoencoders
Paper • 2401.14391 • Published • 23 -
Deconstructing Denoising Diffusion Models for Self-Supervised Learning
Paper • 2401.14404 • Published • 17