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 201–250 of 1085 papers

TitleStatusHype
Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image SynthesisCode2
ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image GenerationCode2
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image GenerationCode2
InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision GeneralistsCode2
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation CapabilitiesCode2
LAMP: Learn A Motion Pattern for Few-Shot-Based Video GenerationCode2
OmniCaptioner: One Captioner to Rule Them AllCode2
Reflect-DiT: Inference-Time Scaling for Text-to-Image Diffusion Transformers via In-Context ReflectionCode2
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse RewardsCode2
MUSES: 3D-Controllable Image Generation via Multi-Modal Agent CollaborationCode1
Multimodal LLM-Guided Semantic Correction in Text-to-Image DiffusionCode1
MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image GenerationCode1
Multimodal Procedural Planning via Dual Text-Image PromptingCode1
Mutual Information Divergence: A Unified Metric for Multimodal Generative ModelsCode1
Brush Your Text: Synthesize Any Scene Text on Images via Diffusion ModelCode1
Minority-Focused Text-to-Image Generation via Prompt OptimizationCode1
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?Code1
Diffusion Features to Bridge Domain Gap for Semantic SegmentationCode1
MemBench: Memorized Image Trigger Prompt Dataset for Diffusion ModelsCode1
Medical diffusion on a budget: Textual Inversion for medical image generationCode1
Merging and Splitting Diffusion Paths for Semantically Coherent PanoramasCode1
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image GenerationCode1
DiffBlender: Scalable and Composable Multimodal Text-to-Image Diffusion ModelsCode1
DF-GAN: A Simple and Effective Baseline for Text-to-Image SynthesisCode1
BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion ModelsCode1
AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image DetectorsCode1
ManiGAN: Text-Guided Image ManipulationCode1
MAGVLT: Masked Generative Vision-and-Language TransformerCode1
Detecting Human Artifacts from Text-to-Image ModelsCode1
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable DiffusionCode1
L-Verse: Bidirectional Generation Between Image and TextCode1
Detector Guidance for Multi-Object Text-to-Image GenerationCode1
EasyGen: Easing Multimodal Generation with BiDiffuser and LLMsCode1
MC^2: Multi-concept Guidance for Customized Multi-concept GenerationCode1
NeoBabel: A Multilingual Open Tower for Visual GenerationCode1
LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed PromptsCode1
Decoupled Textual Embeddings for Customized Image GenerationCode1
Masked-Attention Diffusion Guidance for Spatially Controlling Text-to-Image GenerationCode1
Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map AlignmentCode1
LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image GenerationCode1
Localizing Object-level Shape Variations with Text-to-Image Diffusion ModelsCode1
Learning to Sample Effective and Diverse Prompts for Text-to-Image GenerationCode1
Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image SynthesisCode1
Lightweight Generative Adversarial Networks for Text-Guided Image ManipulationCode1
Diffusion Model is Secretly a Training-free Open Vocabulary Semantic SegmenterCode1
Data Extrapolation for Text-to-image Generation on Small DatasetsCode1
LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image GenerationCode1
Blended Diffusion for Text-driven Editing of Natural ImagesCode1
Anchor Token Matching: Implicit Structure Locking for Training-free AR Image EditingCode1
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image SynthesisCode1
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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