conftrace_

u-net architecture

47 papers

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Also known as

UNET U-NET

Co-occurring keywords

convolutional neural network (4226) diffusion model (3751) medical image segmentation (351) image generation (2073) image segmentation (971) semantic segmentation (3186) attention mechanism (4001) image restoration (1517) model compression (3302) latent space (854)

Papers

MedKamba: A Novel Approach Integrating State-Space Models and Fractional Kolmogorov–Arnold Networks for Medical Image Segmentation MIDL 2026
Learning Robust Medical Image Segmentation with Inductive Bias MIDL 2026
FastAnimate: Towards Learnable Template Construction and Pose Deformation for Fast 3D Human Avatar Animation AAAI 2026
Hierarchical Dual-Domain Fusion with Frequency-Guided Spatial Modeling for Pan-Sharpening AAAI 2026
You Should Learn to Stop Denoising on Point Clouds in Advance AAAI 2025
Controllable 3D Dance Generation Using Diffusion-Based Transformer U-Net AAAI 2025
DarSwin-Unet: Distortion Aware Architecture WACV 2025
Not All Parameters Matter: Masking Diffusion Models for Enhancing Generation Ability CVPR 2025
PEIE: Physics Embedded Illumination Estimation for Adaptive Dehazing AAAI 2025
Object Dynamics Modeling with Hierarchical Point Cloud-based Representations CVPR 2024
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers NIPS 2024
From Denoising Training To Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation WACV 2024
Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models NIPS 2024
FreeU: Free Lunch in Diffusion U-Net CVPR 2024
Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture CVPR 2024
InstructME: An Instruction Guided Music Edit Framework with Latent Diffusion Models IJCAI 2024
KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis NIPS 2024
Rolling-Unet: Revitalizing MLP’s Ability to Efficiently Extract Long-Distance Dependencies for Medical Image Segmentation AAAI 2024
Statistically Principled Deep Learning for SAR Image Segmentation AAAI 2024
FlowAVSE: Efficient Audio-Visual Speech Enhancement with Conditional Flow Matching INTERSPEECH 2024
A Unified Framework for U-Net Design and Analysis NIPS 2023
HD-DEMUCS: General Speech Restoration with Heterogeneous Decoders INTERSPEECH 2023
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence WACV 2023
SIUNet: Sparsity Invariant U-Net for Edge-Aware Depth Completion WACV 2023
YAMU: Yet Another Modified U-Net Architecture for Semantic Segmentation MIDL 2022