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Collections including paper arxiv:2302.05543

InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Paper • 2404.02733 • Published Apr 3 • 20
Common Diffusion Noise Schedules and Sample Steps are Flawed

Paper • 2305.08891 • Published May 15, 2023 • 8
Adding Conditional Control to Text-to-Image Diffusion Models

Paper • 2302.05543 • Published Feb 10, 2023 • 36
RePaint: Inpainting using Denoising Diffusion Probabilistic Models

Paper • 2201.09865 • Published Jan 24, 2022

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Paper • 2307.01952 • Published Jul 4, 2023 • 81
Adding Conditional Control to Text-to-Image Diffusion Models

Paper • 2302.05543 • Published Feb 10, 2023 • 36

Papers - ControlNet

Adding Conditional Control to Text-to-Image Diffusion Models

Paper • 2302.05543 • Published Feb 10, 2023 • 36
LightIt: Illumination Modeling and Control for Diffusion Models

Paper • 2403.10615 • Published Mar 15 • 16
SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions

Paper • 2403.16627 • Published Mar 25 • 20
DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric Diffusion

Paper • 2403.17237 • Published Mar 25 • 8

U-Net: Convolutional Networks for Biomedical Image Segmentation

Paper • 1505.04597 • Published May 18, 2015 • 6
Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images

Paper • 2310.16186 • Published Oct 24, 2023 • 2
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

Paper • 1709.07330 • Published Sep 21, 2017 • 2
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans

Paper • 1801.08599 • Published Jan 25, 2018 • 2

Papers - ResNet

Wide Residual Networks

Paper • 1605.07146 • Published May 23, 2016 • 2
Characterizing signal propagation to close the performance gap in unnormalized ResNets

Paper • 2101.08692 • Published Jan 21, 2021 • 2
Pareto-Optimal Quantized ResNet Is Mostly 4-bit

Paper • 2105.03536 • Published May 7, 2021 • 2
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations

Paper • 2106.01548 • Published Jun 3, 2021 • 2

Adapters & Controls

X-Adapter: Adding Universal Compatibility of Plugins for Upgraded Diffusion Model

Paper • 2312.02238 • Published Dec 4, 2023 • 25
IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Paper • 2308.06721 • Published Aug 13, 2023 • 29
T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

Paper • 2302.08453 • Published Feb 16, 2023 • 9
ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs

Paper • 2311.13600 • Published Nov 22, 2023 • 42

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Paper • 2108.01073 • Published Aug 2, 2021 • 7
MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation

Paper • 2209.09002 • Published Sep 19, 2022
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Paper • 2208.01618 • Published Aug 2, 2022 • 1
Adding Conditional Control to Text-to-Image Diffusion Models

Paper • 2302.05543 • Published Feb 10, 2023 • 36

Adding Conditional Control to Text-to-Image Diffusion Models

Paper • 2302.05543 • Published Feb 10, 2023 • 36

Generative Multiple Modality

Random Field Augmentations for Self-Supervised Representation Learning

Paper • 2311.03629 • Published Nov 7, 2023 • 6
TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models

Paper • 2311.04589 • Published Nov 8, 2023 • 18
GENOME: GenerativE Neuro-symbOlic visual reasoning by growing and reusing ModulEs

Paper • 2311.04901 • Published Nov 8, 2023 • 7
Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models

Paper • 2311.06783 • Published Nov 12, 2023 • 26

Adding Conditional Control to Text-to-Image Diffusion Models

Paper • 2302.05543 • Published Feb 10, 2023 • 36

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