SOTAVerified

Text-to-Image Generation

The development of the brain's blood supply in an embryo involves a complex process with several stages. Initially, there is a network of connections between the carotid and basilar artery systems that usually disappear during development. However, in some cases, these connections remain, leading to variations in the adult cerebral circulation. Around the 24th day of embryonic life (at the 3 mm embryonic stage), the internal carotid arteries (ICA) emerge. They are formed from a combination of the 3rd branchial arch arteries and the distal segments of the paired dorsal aortae. The ICA initially provides all the blood needed by the developing brain. As the brain grows, particularly the occipital region, brainstem, and cerebellum, the blood supply from the ICA becomes insufficient, prompting the development of the posterior circulation. At this stage (4-5 mm embryonic stage), the posterior circulation, specifically the hindbrain, is supplied by two longitudinal neural arteries. These arteries receive blood from several temporary connections (anastomoses) with the ICA, including: Trigeminal artery (TA), Otic artery (OA), Hypoglossal artery (HA), Proatlantal artery (ProA). These carotid-vertebrobasilar anastomoses act as temporary bridges, providing blood flow to the developing posterior circulation until the vertebral arteries (VA) and the basilar artery (BA) are fully formed.6

The BA forms between the 5-8 mm stage by the fusion of the longitudinal neural arteries. As the posterior communicating artery develops and connects with the distal BA, the TA, OA, and HA typically regress. Unlike the TA, OA, and HA, the ProA persists until the VA are fully developed. A segment of the ProA becomes incorporated into the V3 segment of the VA and the distal portions of the occipital artery. The VA develop between the 7-12 mm stage from transverse connections between cervical intersegmental arteries, starting with the ProA and progressing downwards to the 6th intersegmental artery. This 6th intersegmental artery eventually forms the origin of the adult VA from the subclavian artery. 7-8

Persistence of the HA into adulthood, the focus of this discussion, is a rare occurrence. It is the second most common persistent carotid-vertebrobasilar anastomosis, following the persistent trigeminal artery. The failure of the HA to regress during embryological development leads to PPHA. This condition can impact the normal blood flow dynamics in the brain and, in certain cases, can be associated with cerebrovascular issues like aneurysms or ischemic events.

Papers

Showing 251300 of 1085 papers

TitleStatusHype
Efficient Scaling of Diffusion Transformers for Text-to-Image Generation0
A LoRA is Worth a Thousand Pictures0
SafetyDPO: Scalable Safety Alignment for Text-to-Image Generation0
Vision-Language Models Represent Darker-Skinned Black Individuals as More Homogeneous than Lighter-Skinned Black Individuals0
SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training0
Are Conditional Latent Diffusion Models Effective for Image Restoration?0
Fast Prompt Alignment for Text-to-Image GenerationCode1
Seeing Syntax: Uncovering Syntactic Learning Limitations in Vision-Language Models0
Generate Any Scene: Evaluating and Improving Text-to-Vision Generation with Scene Graph ProgrammingCode2
Preference Adaptive and Sequential Text-to-Image Generation0
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation0
FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models0
Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement MattersCode1
Efficiency Meets Fidelity: A Novel Quantization Framework for Stable Diffusion0
Proactive Agents for Multi-Turn Text-to-Image Generation Under UncertaintyCode2
BudgetFusion: Perceptually-Guided Adaptive Diffusion Models0
Language-Guided Image Tokenization for Generation0
SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation0
Self-Guidance: Boosting Flow and Diffusion Generation on Their Own0
FlexDiT: Dynamic Token Density Control for Diffusion TransformerCode1
LayerFusion: Harmonized Multi-Layer Text-to-Image Generation with Generative Priors0
One Communication Round is All It Needs for Federated Fine-Tuning Foundation Models0
BodyMetric: Evaluating the Realism of Human Bodies in Text-to-Image Generation0
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts0
Safeguarding Text-to-Image Generation via Inference-Time Prompt-Noise OptimizationCode0
Multi-view Image Diffusion via Coordinate Noise and Fourier Attention0
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation0
Implicit Priors Editing in Stable Diffusion via Targeted Token Adjustment0
DynamicControl: Adaptive Condition Selection for Improved Text-to-Image Generation0
ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation?Code0
Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis0
Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation0
MFTF: Mask-free Training-free Object Level Layout Control Diffusion ModelCode0
X-Prompt: Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation ModelsCode2
Memories of Forgotten Concepts0
Playable Game GenerationCode2
QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain0
Opt-In Art: Learning Art Styles Only from Few Examples0
JetFormer: An Autoregressive Generative Model of Raw Images and TextCode0
AMO Sampler: Enhancing Text Rendering with OvershootingCode1
Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds0
Type-R: Automatically Retouching Typos for Text-to-Image Generation0
Reward Incremental Learning in Text-to-Image Generation0
Relations, Negations, and Numbers: Looking for Logic in Generative Text-to-Image ModelsCode0
ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting0
Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models0
What Makes a Scene ? Scene Graph-based Evaluation and Feedback for Controllable GenerationCode2
Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image GeneratorCode0
Interactive Visual Assessment for Text-to-Image Generation Models0
Automatic Evaluation for Text-to-image Generation: Task-decomposed Framework, Distilled Training, and Meta-evaluation BenchmarkCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1StackGAN-v1FID74.05Unverified
2StackGAN + OPFID55.3Unverified
3L-VerseFID45.8Unverified
4L-Verse-CCFID37.2Unverified
5AttnGAN (256 x 256)FID35.2Unverified
6AttnGAN + OPFID33.35Unverified
7DM-GANFID32.64Unverified
8DM-GAN + VICTRFID32.37Unverified
9Vanilla CM3FID29.5Unverified
10AttnGAN + VICTRFID29.26Unverified
#ModelMetricClaimedVerifiedStatus
1GAWWNFID67.22Unverified
2StackGAN-v1FID51.89Unverified
3AttnGAN+CLFID16.34Unverified
4StackGAN-v2FID15.3Unverified
5DM-GAN+CLFID14.38Unverified
6VQ-Diffusion-SFID12.97Unverified
7VQ-Diffusion-BFID11.94Unverified
8LafiteFID10.48Unverified
9VQ-Diffusion-FFID10.32Unverified
10RAT-GANFID10.21Unverified
#ModelMetricClaimedVerifiedStatus
1SD3.5-Medium+Flow-GRPOOverall0.95Unverified
2UniWorld-V1 (Rewrite)Overall0.84Unverified
3MindOmniOverall0.83Unverified
4UniWorld-V1Overall0.8Unverified
5MetaQuery-XL (Rewrite)Overall0.8Unverified
6SANA-1.5 4.8B (+ Inference Scaling)Overall0.8Unverified
7Janus-Pro-7BOverall0.8Unverified
8Show-o [xie2024show] PARM It. DPO PARMOverall0.77Unverified
9Show-o [xie2024show] Ft. ORM It. DPO Ft. ORMOverall0.75Unverified
10Lumina-Image 2.0Overall0.73Unverified
#ModelMetricClaimedVerifiedStatus
1DFGANFID137.6Unverified
2DM-GANFID131.05Unverified
3AttnGANFID125.98Unverified
4ControlGANFID116.32Unverified
5TediGAN-AFID106.37Unverified
6TediGAN-BFID101.42Unverified
7Unite and ConquerFID26.09Unverified
8CorgiFID19.74Unverified
9LafiteFID12.54Unverified
10Swinv2-ImagenFID10.31Unverified
#ModelMetricClaimedVerifiedStatus
1LCM (Curriculum DPO)Aesthetics (Laion Aesthtetics Predictor)6.18Unverified
2LCM (DPO)Aesthetics (Laion Aesthtetics Predictor)6.04Unverified
3LCM (DDPO)Aesthetics (Laion Aesthtetics Predictor)6.01Unverified
4LCMAesthetics (Laion Aesthtetics Predictor)5.8Unverified
5Stable Diffusion 1.5 (Curriculum DPO)Aesthetics (Laion Aesthtetics Predictor)5.71Unverified
6Stable Diffusion 1.5 (DDPO)Aesthetics (Laion Aesthtetics Predictor)5.67Unverified
7Stable Diffusion 1.5 (DPO)Aesthetics (Laion Aesthtetics Predictor)5.62Unverified
8Stable Diffusion 1.5Aesthetics (Laion Aesthtetics Predictor)5.43Unverified
#ModelMetricClaimedVerifiedStatus
1StackGAN-v1FID55.28Unverified
2StackGAN-v2FID48.68Unverified
3RAT-GANFID16.04Unverified
4VQ-Diffusion-SFID14.95Unverified
5VQ-Diffusion-BFID14.88Unverified
6VQ-Diffusion-FFID14.1Unverified
7RAT-DiffusionFID9.52Unverified
8StackGANInception score3.2Unverified
#ModelMetricClaimedVerifiedStatus
1VQ-GANFID28.86Unverified
2Image-BARTFID22.61Unverified
3LDM-4FID17.01Unverified
4RQ-TransformerFID12.33Unverified
5Contextual RQ-TransformerFID9.8Unverified
#ModelMetricClaimedVerifiedStatus
1PartiFID7.23Unverified
2CM3Leon-7BFID4.88Unverified
3Parti FinetunedFID3.22Unverified
#ModelMetricClaimedVerifiedStatus
1TamingBlock-FID38.89Unverified
2MaskGITBlock-FID24.33Unverified
3NUWA-InfinityBlock-FID9.71Unverified
#ModelMetricClaimedVerifiedStatus
1Lumina-Image 2.0Overall87.2Unverified
2MetaQuery-XLOverall82.05Unverified
#ModelMetricClaimedVerifiedStatus
1PartiFID15.97Unverified
2Parti FinetunedFID8.39Unverified
#ModelMetricClaimedVerifiedStatus
1AttnGANInception score25.89Unverified
2Muse-3B (zero-shot)FID7.88Unverified
#ModelMetricClaimedVerifiedStatus
1Emu3Color0.79Unverified
2PixArt-aColor0.69Unverified
#ModelMetricClaimedVerifiedStatus
1BiLSTMS on color generationValidation Accuracy85Unverified
#ModelMetricClaimedVerifiedStatus
1SSC+SKDLPIPS0.7Unverified
#ModelMetricClaimedVerifiedStatus
1GeNeVA-GANF1-score58.83Unverified
#ModelMetricClaimedVerifiedStatus
1GeNeVA-GANF1-score88.39Unverified