https://github.com/AIDC-AI/CHATS
공식 코드CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation
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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.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation
InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists
LaCon: Late-Constraint Diffusion for Steerable Guided Image Synthesis
From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models
Network-to-Network Translation with Conditional Invertible Neural Networks
MUSES: 3D-Controllable Image Generation via Multi-Modal Agent Collaboration
Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free
FoREST: Frame of Reference Evaluation in Spatial Reasoning Tasks
MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis
A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks
SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions
A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models
Safeguarding Text-to-Image Generation via Inference-Time Prompt-Noise Optimization
GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantation
Scaling Down Text Encoders of Text-to-Image Diffusion Models
Learning Few-Step Diffusion Models by Trajectory Distribution Matching
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Controlling Geometric Abstraction and Texture for Artistic Images
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
Images Speak Volumes: User-Centric Assessment of Image Generation for Accessible Communication
Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models
BK-SDM: A Lightweight, Fast, and Cheap Version of Stable Diffusion
Vision-guided and Mask-enhanced Adaptive Denoising for Prompt-based Image Editing
GlyphDraw: Seamlessly Rendering Text with Intricate Spatial Structures in Text-to-Image Generation
Subject-Diffusion:Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning
CAT: Contrastive Adapter Training for Personalized Image Generation
RL for Consistency Models: Faster Reward Guided Text-to-Image Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.