報告者：孟昕
報告PPT：PPT
文獻題目：靜動之間以心律動——女性運動智慧服裝之創作設計
文獻作者：實踐大學設計學院 服裝設計研究所——徐明琴
文獻來源：台灣博碩士論文知識加值系統
摘要：
隨著運動風氣潮流興起，運動人口逐漸增加，也帶動健康產業。
運動服裝結合穿戴式裝置是運動服裝市場的重要趨勢，然而目前穿戴式產品功能與實際使用者應用方面正處於探索期，大部份的消費者也尚未將其視為生活中之必需品。但是國內外廠商早已紛紛投入其領域，希望能在下一波趨勢中捷足先登佔有市場的一席之地，其中多以智慧型手機連結並進行資訊互聯、周邊控制附屬配件及活動生理監測…等功能為主。
結合運動內衣及運動服裝，並搭配心率器及導電纖維布料，設計出符合亞洲女性穿著的二合一運動智慧服裝。再應用數位印花手法，以大自然元素、幾何及光線網絡圖騰為設計基調；另外，採用可替換胸墊及增加活動量版型，以提升穿著的舒適性。
整體的概念在於創造出結合機能性紡織品與時尚元素的運動智慧服裝，讓運動服裝融入時尚與科技，鼓勵女生自信地跨越時裝與運動休閒的界線，走向戶外運動。
Topic: Virtual Try-on Image Synthesis Based on Generative Adversarial Networks ppt
Reference: 台灣碩博士論文網
Abstract:
This study proposed a network which can redress the person in input image with the target clothes. Through the virtual try-on model, the clothes should perfectly fit human body in output image, the model wearing the assigned clothes with clothing detail well preserved. Also, the image would still keep the images photo-realistic.
報告者：施佳瑩
報告PPT：https://drive.google.com/file/d/13PY0yuh2YA8DG5XJrpCSP5_d0bZm7yOl/view?usp=sharing
文獻題目：《Like Plant Like Painting》360度沉浸式虛擬實境體驗創作論述與製作說明
文獻作者：國立政治大學 數位內容碩士學位學程 洪子如
文獻來源：臺灣博碩士論文知識加值系統
摘要：
本論文透過《Like Plant Like Painting》之VR創作研究，旨在利用VR之媒材特性，各種歧視眼光、語言、行為，使觀眾感到強烈的不適與折磨，透過無法動彈視角、無法言語的狀況，進而產生同理心並尊重不同族群，希望作品能讓人們開啟對話，理解觀看與被觀看者情緒複雜感受，體認到眼光重疊中的世界下所應具備的同理之心。
本論文從文獻探討為始，從虛擬實境特性的本質討論，進入沉浸體驗的「觀眾主體性問題」，並比較大銀幕與小螢幕的差異，爬梳相關案例，來說明：甚麼是「沉浸式的影像」與體驗？隨後，藉由創作發想於研究過程，研究相關的拍攝、展演之技術，提供創作者對劇情的構思、影像風格的發想、並提供相關影像的影像視覺設計，藉此建立起觀者對此創作的初步理解。
在創作最終的成果產出後，創作者於結論階段透過與觀眾的訪談，理解作品的效果是否有達成，檢討從中的學習經驗與反思。並發現：在VR創作中的內容設計與外在環境、體驗感受的「一體性」或「一致性」，或許將成為觀眾/使用者是否能融入情境的重要因素。
報告者：趙立
報告PPT：PPT
文獻題目：「以假亂真」─ 虛擬實境感官體驗藝術創作
文獻作者：成功大學科技藝術碩士-林佩昕
文獻來源：臺灣博碩士論文知識加值系統
摘要：
本創作利用VR虛擬實境為工具，創作一個視覺與其他感官不同步的藝術體驗，使用Unity創造一個與現實環境不同的虛擬空間，而在真實環境中，體驗者戴上VR顯示器後，實際上眼睛的視覺是處於遮蔽狀態，只能依靠虛擬的視覺影像來幫助行動，但由於虛擬影像和真實環境不同，所以體驗過程將受到重重阻礙。利用VR虛擬實境的視覺沉浸感，引導觀眾親自與作品互動，企圖引發體驗者的認知衝突並鼓勵體驗者積極嘗試，親自感受與視覺衝突的其他感覺，感受感官刺激帶來的猶疑困惑感。本創作利用感覺、知覺和聯覺，將原本習以為常的事物去熟悉化，讓我們有機會重新審視那些以為理所當然的日常並勇敢嘗試突破，去「看」見隱藏在視覺之下的各種訊息，並思考虛擬實境中的虛擬與現實。
報告者：鄭涵予 PPT
文獻題目：Tactile microcosm of ALife
摘要：This study aims to propose a new educational tool for interacting with artificial life (ALife). The proposed system consists of an ALife behavior simulation and a tactile aerial display with a combination of aerial imaging by retro-reflection and a force-feedback device. The content is mid-air interaction with a simulated school of fish-like ALife. The behavior is based on a modified BOIDs algorithm with a predator-prey relationship between different species. A user can enjoy interaction with the fish through aerial imaging and haptic feeling. The user can feel the activity of ALife as a force field using haptics.
報告者：廖志唯
報告PPT：https://drive.google.com/file/d/1u8_ag3iFUYdRqj1I0-j0X6Z9XDTXDnvi/view?usp=sharing
文獻題目：NOISE AQUARIUM
文獻作者：Victoria Vesna (UCLA) / Martina R. Fröschl (University of Applied Arts Vienna) / Glenn Bristol (United Motion Labs) / Alfred Vendl (University of Applied Arts Vienna)
文獻來源：https://noiseaquarium.com/
摘要：
The interactive installation presents an aquarium full of plankton in an idyllic immersive experience which presents selected plankton organisms as huge as they are important for our ecosystem. The interaction deals metaphorically with the problem all humans face: Our needs versus the restricted resources of Earth. Find your balance.
報告者：劉學致
報告PPT：http://save.liuxuezhi.net/RuShi.pdf
文獻題目：RuShi
文獻作者：John Wong – John Wong Art
文獻來源：RuShi / Paper
摘要：
My work is about prediction, fate, and superstition, questioning what we really need at the age of AI. The audience will only see the flow of colors. It goes back to the basic. Without the interpretation of the storyteller, I want the audience to see only the beauty of balance.
報告者：孟昕
報告PPT：PPT
文獻題目：《 Hakanaï 》
文獻作者：Adrien M/Claire B (FR)
文獻來源：2018 ADAF 雅典數位藝術節 / video
摘要：
Hakanaï is a solo choreographic performance that unfolds through a series of images in motion. In Japanese Hakanaï denotes that which is temporary and fragile, evanescent and transient, and in this case something set between dreams and reality. While widely associated with nature, the term is now often used to elicit an intangible aspect of the human condition and its precariousness. It encompasses two elements: that concerning the human being as well as that related to dreams. This symbolic relationship is the foundation of the dance composition in which a dancer gives life to a space somewhere between the borders of imagination and reality, through her interactions with the images she encounters. The images are on-stage animations that move in physical patterns according to the rhythm of the live sounds that they follow. The performance’s outcome is the revelation of a digital installation to its audience.
Topic: The Face Of Art – Landmark Detection & Geometric Style in Portraits ppt
Author: Jordan Yaniv, Yael Newman, Ariel Shamir
Reference:
http://www.faculty.idc.ac.il/arik/site/foa/face-of-art.asp
Abstract:
Facial Landmark detection in natural images is a very active research domain. Impressive progress has been made in recent years, with the rise of neural-network based methods and large-scale datasets. However, it is still a challenging and largely unexplored problem in the artistic portraits domain. Compared to natural face images, artistic portraits are much more diverse. They contain a much wider style variation in both geometry and texture and are more complex to analyze. Moreover, datasets that are necessary to train neural networks are unavailable.
This study propose a method for artistic augmentation of natural face images that enables training deep neural networks for landmark detection in artistic portraits. We utilize conventional facial landmarks datasets, and transform their content from natural images into “artistic face” images. In addition, we use a feature-based landmark correction step, to reduce the dependency between the different facial features, which is necessary due to position and shape variations of facial landmarks in artworks.
報告者：趙立
報告PPT：PPT
文獻題目：Robotic Voice Activated Word Kicking Machine
文獻作者：Neil Mendoza
文獻來源：
2019 SIGGRAPH ART GALLERY/ Neil Mendoza WEBSITE/ PAPER
影片：
VIDEO
摘要：
The Robotic Voice Activated Word Kicking Machine is a surreal exploration of language and our strange relationship with talking to machines, from customer service bots to “intelligent assistants”. It combines projection and robotics to explore the crossover between the virtual and the physical. Viewers’ spoken words are converted into text and launched into the virtual world. They accumulate there, sometimes kicked by a robotic foot and sometimes sucked back out into the world as sound.
報告者：施佳瑩摘要：
Brainlight is an experiential artwork that allows us to see one of the most puzzling aspects of ourselves- our minds. Integrating biology, illumination design and technology into an interactive sculpture cut from perspex and engraved with neural networks, the brain sculpture lights up in response to changing brain activity transmitted from an EEG (electroencephalography) wireless headset.
報告者：涵予
文獻題目：Transfantome: Transformation Into Bodies of Various Scale and Structure in Multiple Spaces
摘要：
Transfantome is a novel robot interaction in which the user seamlessly changes or simultaneously uses different “Bodies” of different sizes, structures, and positions. By combining various multiple bodies, we expand our range of power, dexterity, and the place we act, and it brings us unexplored experience or highly efficient work.
We map a virtual “Proxy Body” to the target physical “bodies” like miniature robots or huge construction machines and control them. By moving and scaling the Proxy Body in the virtual environment that reproduces the target bodies and their environment, we can smoothly change bodies which have separated view, size, and structure. As a result, we can handle various bodies together intuitively. For example, by using a powerful giant robot and a dextrous small one, it is possible to carry out the work like rescuing injured person while removing heavy debris efficiently and carefully.
作者：
（東京大學）Atsushi Izumihara、Tomoya Sasaki、Masahiro Ogino、Masahiko Inami
（神鋼工程機械有限公司）Reona Takamura
Topic: Physics Forest – Real-time fluid simulation using machine learning ppt
Author: Ľubor Ladický , SoHyeon Jeong
Reference:
https://dl.acm.org/doi/abs/10.1145/3098333.3098337
Abstract:
PhysicsForests is a fluid-simulation framework that can simulate large scenes with several million particles in real time, including surface generation, foam, rigid-body coupling, and rendering. Instead of solving underlying Navier-Stokes equations, it predicts particle behavior approximately using machine-learning-based regression-forest method that is trained on a large set of randomly generated scenes obtained by a traditional fluid solver. The result is faster and more stable than standard methods.
Research Article: A design for optical cloaking display
