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Collections including paper arxiv:2404.01197

Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Paper • 2404.01197 • Published Apr 1 • 29
CosmicMan: A Text-to-Image Foundation Model for Humans

Paper • 2404.01294 • Published Apr 1 • 15
mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus

Paper • 2406.08707 • Published Jun 13 • 15
DataComp-LM: In search of the next generation of training sets for language models

Paper • 2406.11794 • Published Jun 17 • 48

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 • 41
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

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

Paper • 2404.02905 • Published Apr 3 • 63
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

Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Paper • 2404.01197 • Published Apr 1 • 29
Condition-Aware Neural Network for Controlled Image Generation

Paper • 2404.01143 • Published Apr 1 • 11
CosmicMan: A Text-to-Image Foundation Model for Humans

Paper • 2404.01294 • Published Apr 1 • 15

Papers - University of Maryland

Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Paper • 2404.01197 • Published Apr 1 • 29
Measuring Style Similarity in Diffusion Models

Paper • 2404.01292 • Published Apr 1 • 15

Papers - Hugging Face

Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Paper • 2404.01197 • Published Apr 1 • 29
Scaling Data-Constrained Language Models

Paper • 2305.16264 • Published May 25, 2023 • 17

Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Paper • 2404.01197 • Published Apr 1 • 29
A Simple Approach to Jointly Rank Passages and Select Relevant Sentences in the OBQA Context

Paper • 2109.10497 • Published Sep 22, 2021 • 1

Models - Spright

SPRIGHT-T2I/spright-t2i-sd2

Text-to-Image • Updated May 7 • 244 • 11
Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Paper • 2404.01197 • Published Apr 1 • 29

Papers - University - University of Washington

The Curious Case of Neural Text Degeneration

Paper • 1904.09751 • Published Apr 22, 2019 • 3
Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Paper • 2404.01197 • Published Apr 1 • 29
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Paper • 1905.10044 • Published May 24, 2019 • 1
PIQA: Reasoning about Physical Commonsense in Natural Language

Paper • 1911.11641 • Published Nov 26, 2019 • 2

Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation

Paper • 2403.19319 • Published Mar 28 • 11
Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Paper • 2404.01197 • Published Apr 1 • 29
LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model

Paper • 2404.01331 • Published Mar 29 • 24
LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models

Paper • 2404.03118 • Published Apr 3 • 23

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