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.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/pmh9960/regft-for-gen
공식 코드Regularized Training with Generated Datasets for Name-Only Transfer of Vision-Language Models
https://github.com/preethiseshadri518/bias-amplification-paradox
공식 코드https://github.com/q-future/q-refine
공식 코드G-Refine: A General Quality Refiner for Text-to-Image Generation
https://github.com/qianwangx/instructedit
공식 코드InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions
https://github.com/qianwangx/mdp-diffusion
공식 코드MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path
https://github.com/qinghew/CharacterFactory
공식 코드CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models
https://github.com/qualcomm-ai-research/clockwork-diffusion
공식 코드Clockwork Diffusion: Efficient Generation With Model-Step Distillation
https://github.com/rang1991/public-intermediate-semantics-for-generation
공식 코드Generating Intermediate Representations for Compositional Text-To-Image Generation
https://github.com/recklessronan/muse
공식 코드https://github.com/redaigc/storymaker
공식 코드StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation
https://github.com/redorangeyellowy/AttentionHand
공식 코드AttentionHand: Text-driven Controllable Hand Image Generation for 3D Hand Reconstruction in the Wild
https://github.com/reedscot/icml2016
공식 코드https://github.com/researchcode001/divide-and-conquer-attack
공식 코드https://github.com/researchmm/generate-it
공식 코드Unifying Multimodal Transformer for Bi-directional Image and Text Generation
https://github.com/rinongal/textual_inversion
공식 코드An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
https://github.com/rmpku/cpdm
공식 코드A Dataset and Benchmark for Copyright Infringement Unlearning from Text-to-Image Diffusion Models
https://github.com/roboflow/rf100-vl
공식 코드Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models
https://github.com/rockeycoss/spo
공식 코드https://github.com/rohitgandikota/erasing
공식 코드https://github.com/rongyaofang/got
공식 코드https://github.com/rongyaofang/puma
공식 코드PUMA: Empowering Unified MLLM with Multi-granular Visual Generation
https://github.com/royira/syntax-guided-generation
공식 코드https://github.com/rt219/latentguard
공식 코드Latent Guard: a Safety Framework for Text-to-image Generation
https://github.com/ruchikachavhan/concept-prune
공식 코드ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning
https://github.com/rvignav/diffusion-tts
공식 코드Test-Time Scaling of Diffusion Models via Noise Trajectory Search
https://github.com/sWizad/momentum-diffusion
공식 코드Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
https://github.com/sachit-menon/generating-illustrated-instructions-reproduction
공식 코드https://github.com/sadil13/vln-ram
공식 코드https://github.com/sairin1202/vp-csv
공식 코드Character-Centric Story Visualization via Visual Planning and Token Alignment
https://github.com/sais-fuxi/evalalign
공식 코드https://github.com/salanueva/sr4g
공식 코드https://github.com/salesforce/HIVE
공식 코드HIVE: Harnessing Human Feedback for Instructional Visual Editing
https://github.com/salesforce/edict
공식 코드EDICT: Exact Diffusion Inversion via Coupled Transformations
https://github.com/salesforce/lavis
공식 코드https://github.com/sbyebss/monge_map_solver
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.