https://github.com/HFAiLab/clip-gen
CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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.
CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP
Conditional Image Generation and Manipulation for User-Specified Content
SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model
CogView: Mastering Text-to-Image Generation via Transformers
T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation
MirrorGAN: Learning Text-to-image Generation by Redescription
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation
Omni-Dish: Photorealistic and Faithful Image Generation and Editing for Arbitrary Chinese Dishes
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
High-Resolution Image Synthesis with Latent Diffusion Models
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation
ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language Generation
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language Generation
High-Resolution Image Synthesis with Latent Diffusion Models
Muse: Text-To-Image Generation via Masked Generative Transformers
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.