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Collections including paper arxiv:2404.02733

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MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training

Paper • 2311.17049 • Published Nov 28, 2023
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Paper • 2405.04434 • Published May 7 • 13
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision

Paper • 2303.17376 • Published Mar 30, 2023
Sigmoid Loss for Language Image Pre-Training

Paper • 2303.15343 • Published Mar 27, 2023 • 4

Image Generation

EdgeFusion: On-Device Text-to-Image Generation

Paper • 2404.11925 • Published Apr 18 • 21
Dynamic Typography: Bringing Words to Life

Paper • 2404.11614 • Published Apr 17 • 42
ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback

Paper • 2404.07987 • Published Apr 11 • 47
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models

Paper • 2404.07724 • Published Apr 11 • 11

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

Paper • 2404.02733 • Published Apr 3 • 20

Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

Paper • 2404.02905 • Published Apr 3 • 64
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Paper • 2404.02733 • Published Apr 3 • 20
Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models

Paper • 2404.02747 • Published Apr 3 • 11
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models

Paper • 2404.01367 • Published Apr 1 • 19

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

Papers - Image - SDXL

On the Scalability of Diffusion-based Text-to-Image Generation

Paper • 2404.02883 • Published Apr 3 • 17
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Paper • 2404.02733 • Published Apr 3 • 20
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching

Paper • 2404.03653 • Published Apr 4 • 33
ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback

Paper • 2404.07987 • Published Apr 11 • 47

Papers - Image - Encoders - Clip

TextCraftor: Your Text Encoder Can be Image Quality Controller

Paper • 2403.18978 • Published Mar 27 • 13
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Paper • 2404.02733 • Published Apr 3 • 20
OmniFusion Technical Report

Paper • 2404.06212 • Published Apr 9 • 74
Transferable and Principled Efficiency for Open-Vocabulary Segmentation

Paper • 2404.07448 • Published Apr 11 • 11

Improving Text-to-Image Consistency via Automatic Prompt Optimization

Paper • 2403.17804 • Published Mar 26 • 15
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation

Paper • 2403.16990 • Published Mar 25 • 24
Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Paper • 2404.01197 • Published Apr 1 • 30
Condition-Aware Neural Network for Controlled Image Generation

Paper • 2404.01143 • Published Apr 1 • 11

Papers - Attention - Cross

Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers

Paper • 2403.12943 • Published Mar 19 • 14
Masked Audio Generation using a Single Non-Autoregressive Transformer

Paper • 2401.04577 • Published Jan 9 • 41
Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models

Paper • 2404.02747 • Published Apr 3 • 11
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Paper • 2404.02733 • Published Apr 3 • 20

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

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