https://github.com/dome272/paella
공식 코드A Novel Sampling Scheme for Text- and Image-Conditional Image Synthesis in Quantized Latent Spaces
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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.
A Novel Sampling Scheme for Text- and Image-Conditional Image Synthesis in Quantized Latent Spaces
LAFITE: Towards Language-Free Training for Text-to-Image Generation
Rethink Sparse Signals for Pose-guided Text-to-image Generation
Generating images of rare concepts using pre-trained diffusion models
Real-World Image Variation by Aligning Diffusion Inversion Chain
MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO
Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model
PQPP: A Joint Benchmark for Text-to-Image Prompt and Query Performance Prediction
Masked-Attention Diffusion Guidance for Spatially Controlling Text-to-Image Generation
Implementing and Experimenting with Diffusion Models for Text-to-Image Generation
Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners
HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models
LoFT: LoRA-fused Training Dataset Generation with Few-shot Guidance
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation
VMix: Improving Text-to-Image Diffusion Model with Cross-Attention Mixing Control
AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation
InstanceDiffusion: Instance-level Control for Image Generation
ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services
Eta Inversion: Designing an Optimal Eta Function for Diffusion-based Real Image Editing
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.