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 51–100 of 1085 papers

TitleStatusHype
GLIGEN: Open-Set Grounded Text-to-Image GenerationCode4
Lumina-Image 2.0: A Unified and Efficient Image Generative FrameworkCode4
Long-CLIP: Unlocking the Long-Text Capability of CLIPCode4
Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by StepCode4
SemanticDraw: Towards Real-Time Interactive Content Creation from Image Diffusion ModelsCode4
Autoregressive Video Generation without Vector QuantizationCode4
Zero-Shot Text-to-Image GenerationCode3
Visual Style Prompting with Swapping Self-AttentionCode3
Intelligent Grimm - Open-ended Visual Storytelling via Latent Diffusion ModelsCode3
3DIS-FLUX: simple and efficient multi-instance generation with DiT renderingCode3
3DIS: Depth-Driven Decoupled Instance Synthesis for Text-to-Image GenerationCode3
DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image EditingCode3
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image SynthesisCode3
ImageInWords: Unlocking Hyper-Detailed Image DescriptionsCode3
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image GenerationCode3
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image GenerationCode3
Halton Scheduler For Masked Generative Image TransformerCode3
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation ModelsCode3
Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion ModelCode3
Hierarchical Text-Conditional Image Generation with CLIP LatentsCode3
Autoregressive Image Generation using Residual QuantizationCode3
Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference OptimizationCode3
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language InstructionsCode3
Emu: Generative Pretraining in MultimodalityCode3
Follow Your Pose: Pose-Guided Text-to-Video Generation using Pose-Free VideosCode3
All are Worth Words: A ViT Backbone for Diffusion ModelsCode3
FlashFace: Human Image Personalization with High-fidelity Identity PreservationCode3
Scaling Rectified Flow Transformers for High-Resolution Image SynthesisCode3
One Transformer Fits All Distributions in Multi-Modal Diffusion at ScaleCode3
Optimal Stepsize for Diffusion SamplingCode3
One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single PromptCode3
Multimodal Foundation Models: From Specialists to General-Purpose AssistantsCode3
MultiDiffusion: Fusing Diffusion Paths for Controlled Image GenerationCode3
MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout GuidanceCode3
Ovis-U1 Technical ReportCode3
Emu3: Next-Token Prediction is All You NeedCode3
MACE: Mass Concept Erasure in Diffusion ModelsCode3
Magic-Me: Identity-Specific Video Customized DiffusionCode3
AI2Agent: An End-to-End Framework for Deploying AI Projects as Autonomous AgentsCode3
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi DecodingCode3
LLMs can see and hear without any trainingCode3
GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and EditingCode3
MaskGIT: Masked Generative Image TransformerCode3
ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image GenerationCode3
Personalize Segment Anything Model with One ShotCode3
Kandinsky 3.0 Technical ReportCode2
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow MatchingCode2
AnyStory: Towards Unified Single and Multiple Subject Personalization in Text-to-Image GenerationCode2
LAMP: Learn A Motion Pattern for Few-Shot-Based Video GenerationCode2
AnyControl: Create Your Artwork with Versatile Control on Text-to-Image GenerationCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1StackGAN-v1FID74.05—Unverified
2StackGAN + OPFID55.3—Unverified
3L-VerseFID45.8—Unverified
4L-Verse-CCFID37.2—Unverified
5AttnGAN (256 x 256)FID35.2—Unverified
6AttnGAN + OPFID33.35—Unverified
7DM-GANFID32.64—Unverified
8DM-GAN + VICTRFID32.37—Unverified
9Vanilla CM3FID29.5—Unverified
10AttnGAN + VICTRFID29.26—Unverified
#ModelMetricClaimedVerifiedStatus
1GAWWNFID67.22—Unverified
2StackGAN-v1FID51.89—Unverified
3AttnGAN+CLFID16.34—Unverified
4StackGAN-v2FID15.3—Unverified
5DM-GAN+CLFID14.38—Unverified
6VQ-Diffusion-SFID12.97—Unverified
7VQ-Diffusion-BFID11.94—Unverified
8LafiteFID10.48—Unverified
9VQ-Diffusion-FFID10.32—Unverified
10RAT-GANFID10.21—Unverified
#ModelMetricClaimedVerifiedStatus
1SD3.5-Medium+Flow-GRPOOverall0.95—Unverified
2UniWorld-V1 (Rewrite)Overall0.84—Unverified
3MindOmniOverall0.83—Unverified
4UniWorld-V1Overall0.8—Unverified
5MetaQuery-XL (Rewrite)Overall0.8—Unverified
6Janus-Pro-7BOverall0.8—Unverified
7SANA-1.5 4.8B (+ Inference Scaling)Overall0.8—Unverified
8Show-o [xie2024show] PARM It. DPO PARMOverall0.77—Unverified
9Show-o [xie2024show] Ft. ORM It. DPO Ft. ORMOverall0.75—Unverified
10Janus-Pro-1BOverall0.73—Unverified
#ModelMetricClaimedVerifiedStatus
1DFGANFID137.6—Unverified
2DM-GANFID131.05—Unverified
3AttnGANFID125.98—Unverified
4ControlGANFID116.32—Unverified
5TediGAN-AFID106.37—Unverified
6TediGAN-BFID101.42—Unverified
7Unite and ConquerFID26.09—Unverified
8CorgiFID19.74—Unverified
9LafiteFID12.54—Unverified
10Swinv2-ImagenFID10.31—Unverified
#ModelMetricClaimedVerifiedStatus
1LCM (Curriculum DPO)Aesthetics (Laion Aesthtetics Predictor)6.18—Unverified
2LCM (DPO)Aesthetics (Laion Aesthtetics Predictor)6.04—Unverified
3LCM (DDPO)Aesthetics (Laion Aesthtetics Predictor)6.01—Unverified
4LCMAesthetics (Laion Aesthtetics Predictor)5.8—Unverified
5Stable Diffusion 1.5 (Curriculum DPO)Aesthetics (Laion Aesthtetics Predictor)5.71—Unverified
6Stable Diffusion 1.5 (DDPO)Aesthetics (Laion Aesthtetics Predictor)5.67—Unverified
7Stable Diffusion 1.5 (DPO)Aesthetics (Laion Aesthtetics Predictor)5.62—Unverified
8Stable Diffusion 1.5Aesthetics (Laion Aesthtetics Predictor)5.43—Unverified
#ModelMetricClaimedVerifiedStatus
1StackGAN-v1FID55.28—Unverified
2StackGAN-v2FID48.68—Unverified
3RAT-GANFID16.04—Unverified
4VQ-Diffusion-SFID14.95—Unverified
5VQ-Diffusion-BFID14.88—Unverified
6VQ-Diffusion-FFID14.1—Unverified
7RAT-DiffusionFID9.52—Unverified
8StackGANInception score3.2—Unverified
#ModelMetricClaimedVerifiedStatus
1VQ-GANFID28.86—Unverified
2Image-BARTFID22.61—Unverified
3LDM-4FID17.01—Unverified
4RQ-TransformerFID12.33—Unverified
5Contextual RQ-TransformerFID9.8—Unverified
#ModelMetricClaimedVerifiedStatus
1PartiFID7.23—Unverified
2CM3Leon-7BFID4.88—Unverified
3Parti FinetunedFID3.22—Unverified
#ModelMetricClaimedVerifiedStatus
1TamingBlock-FID38.89—Unverified
2MaskGITBlock-FID24.33—Unverified
3NUWA-InfinityBlock-FID9.71—Unverified
#ModelMetricClaimedVerifiedStatus
1Lumina-Image 2.0Overall87.2—Unverified
2MetaQuery-XLOverall82.05—Unverified
#ModelMetricClaimedVerifiedStatus
1PartiFID15.97—Unverified
2Parti FinetunedFID8.39—Unverified
#ModelMetricClaimedVerifiedStatus
1AttnGANInception score25.89—Unverified
2Muse-3B (zero-shot)FID7.88—Unverified
#ModelMetricClaimedVerifiedStatus
1Emu3Color0.79—Unverified
2PixArt-aColor0.69—Unverified
#ModelMetricClaimedVerifiedStatus
1BiLSTMS on color generationValidation Accuracy85—Unverified
#ModelMetricClaimedVerifiedStatus
1SSC+SKDLPIPS0.7—Unverified
#ModelMetricClaimedVerifiedStatus
1GeNeVA-GANF1-score58.83—Unverified
#ModelMetricClaimedVerifiedStatus
1GeNeVA-GANF1-score88.39—Unverified