2023FIBA世界盃籃球：賽程、場館、NBA球員出賽名單在這看

2023年的FIBA男子世界盃籃球賽（英語：2023 FIBA Basketball World Cup）是第19屆的比賽，也是自2019年新制度實施後的第二次比賽。從這屆開始，比賽將恢復每四年舉行一次的週期。

在這次比賽中，來自歐洲和美洲的前兩名球隊，以及來自亞洲、大洋洲和非洲的最佳球隊，以及2024年夏季奧運會的主辦國法國（共8隊）將獲得在巴黎舉行的奧運會比賽的參賽資格。

2023FIBA籃球世界盃由32國競爭冠軍榮耀
2023世界盃籃球資格賽在2021年11月22日至2023年2月27日已舉辦完畢，共有非洲區、美洲區、亞洲、歐洲區資格賽，最後出線的國家總共有32個。

很可惜的台灣並沒有闖過世界盃籃球亞洲區資格賽，在世界盃籃球資格賽中華隊並無進入複賽。

2023FIBA世界盃籃球比賽場館
FIBA籃球世界盃將會在6個體育場館舉行。菲律賓馬尼拉將進行四組預賽，兩組十六強賽事以及八強之後所有的賽事。另外，日本沖繩市與印尼雅加達各舉辦兩組預賽及一組十六強賽事。

菲律賓此次將有四個場館作為世界盃比賽場地，帕賽市的亞洲購物中心體育館，奎松市的阿拉內塔體育館，帕西格的菲爾體育館以及武加偉的菲律賓體育館。菲律賓體育館約有55,000個座位，此場館也將會是本屆賽事的決賽場地。

日本與印尼各有一個場地舉辦世界盃賽事。沖繩市綜合運動場與雅加達史納延紀念體育館。

國家 城市 場館 容納人數
菲律賓 帕賽市 亞洲購物中心體育館 20,000
菲律賓 奎松市 阿拉內塔體育館 15,000
菲律賓 帕希格 菲爾體育館 10,000
菲律賓 武加偉 菲律賓體育館（決賽場館） 55,000
日本 沖繩 綜合運動場 10,000
印尼 雅加達 史納延紀念體育館 16,500

2023FIBA世界盃籃球預賽積分統計
預賽分為八組，每一組有四個國家，預賽組內前兩名可以晉級複賽，預賽成績併入複賽計算，複賽各組第三、四名不另外舉辦9-16名排位賽。

而預賽組內後兩名進行17-32名排位賽，預賽成績併入計算，但不另外舉辦17-24名、25-32名排位賽，各組第一名排入第17至20名，第二名排入第21至24名，第三名排入第25至28名，第四名排入第29至32名。

2023世界盃籃球美國隊成員
此次美國隊有12位現役NBA球員加入，雖然並沒有超級巨星等級的球員在內，但是各個位置的分工與角色非常鮮明，也不乏未來的明日之星，其中有籃網隊能投外線的外圍防守大鎖Mikal Bridges，尼克隊與溜馬隊的主控Jalen Brunson、Tyrese Haliburton，多功能的後衛Austin Reaves。

前鋒有著各種功能性的球員，魔術隊高大身材的狀元Paolo Banchero、善於碰撞切入製造犯規，防守型的Josh Hart，進攻型搖擺人Anthony Edwards與Brandon Ingram，接應與防守型的3D側翼Cam Johnson，以及獲得23’賽季最佳防守球員的大前鋒Jaren Jackson Jr.，中鋒則有著敏銳火鍋嗅覺的Walker Kessler與具有外線射程的Bobby Portis。

美國隊上一次獲得世界盃冠軍是在2014年，當時一支由Curry、Irving和Harden等後起之秀組成的陣容帶領美國隊奪得了金牌。與 2014 年總冠軍球隊非常相似，今年的球隊由在 2022-23 NBA 賽季中表現出色的新星組成，就算他們都是資歷尚淺的NBA新面孔，也不能小看這支美國隊。

FIBA世界盃熱身賽就在新莊體育館
FIBA世界盃2023新北熱身賽即將在8月19日、20日和22日在新莊體育館舉行。新北市長侯友宜、立陶宛籃球協會秘書長Mindaugas Balčiūnas，以及台灣運彩x T1聯盟會長錢薇娟今天下午一同公開了熱身賽的球星名單、賽程、售票和籃球交流的詳細資訊。他們誠摯邀請所有籃球迷把握這個難得的機會，親眼見證來自立陶宛、拉脫維亞和波多黎各的NBA現役球星的出色表現。

新莊體育館舉行的熱身賽將包括立陶宛、蒙特內哥羅、墨西哥和埃及等國家，分為D組。首場賽事將在8月19日由立陶宛對波多黎各開打，8月20日波多黎各將與拉脫維亞交手，8月22日則是拉脫維亞與立陶宛的精彩對決。屆時，觀眾將有機會近距離欣賞到國王隊的中鋒沙波尼斯(Domantas Sabonis)、鵜鶘隊的中鋒瓦蘭丘納斯(Jonas Valančiūnas)、後衛阿爾瓦拉多(Jose Alvarado)、賽爾蒂克隊的大前鋒波爾辛吉斯(Kristaps Porzingis)、雷霆隊的大前鋒貝坦斯(Davis Bertans)等NBA現役明星球員的精湛球技。

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GPT-Image: Exploring the Intersection of AI and Visual Art with Beautiful Portraits of Women

Introduction

Artificial Intelligence (AI) has made significant strides in the field of computer vision, enabling machines to understand and interpret visual data. Among these advancements, GPT-Image stands out as a remarkable model that merges language understanding with image generation capabilities. In this article, we explore the fascinating world of GPT-Image and its ability to create stunning portraits of beautiful women.

The Evolution of AI in Computer Vision

The history of AI in computer vision dates back to the 1960s when researchers first began experimenting with image recognition algorithms. Over the decades, AI models evolved, becoming more sophisticated and capable of recognizing objects and patterns in images. GPT-3, a language model developed by OpenAI, achieved groundbreaking results in natural language processing, leading to its applications in various domains.

The Emergence of GPT-Image

With the success of GPT-3, AI researchers sought to combine the power of language models with computer vision. The result was the creation of GPT-Image, an AI model capable of generating high-quality images from textual descriptions. By understanding the semantics of the input text, GPT-Image can visualize and produce detailed images that match the given description.

The Art of GPT-Image Portraits

One of the most captivating aspects of GPT-Image is its ability to create portraits of women that are both realistic and aesthetically pleasing. Through its training on vast datasets of portrait images, the model has learned to capture the intricacies of human features, expressions, and emotions. Whether it's a serene smile, a playful glance, or a contemplative pose, GPT-Image excels at translating textual cues into visually stunning renditions.

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