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Date
Jul 19, 2024
Type
with Prof.
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            Memos

            • pix2pix 모델이 이미지의 색 뿐만 아니라 이미지의 텍스쳐 등도 변화를 일으키나요?
              • 아예 새로운 이미지 생성
              • metric과 person perception 괴리감이 있어 보임
            • 8번째 page, image에서 text로의 변환이 시각 자체랑 같은 기회를 제공하진 않는 것 같음, 11가지 bct로의 표현도 부족해보임 → 시각장애 자체가 민감한 주제라 워딩이 중요함
            • text generation from image paper가 많은데 DCE paper를 사용한 이유
              • 색에 집중하다 보니….
              • 관련 주제에 대한 더 좋은 저널의 paper가 필요해보임
              • DCE paper가 나온 곳은 신뢰성이 떨어짐
            • dominant color extraction, presentation of detection result ← 2개의 main topics
              • super pixel을 이용하는 등의 방법은 이미 old fashion way ← 개선은 필요 없을 듯
              • richness를 어떻게 보장할 것인지 (text, color extraction 측면에서)
              • 매 프레임에 대한 rich text 제공은 유저 입장의 피로도를 높일 듯
              • chatgpt에서 이용하는 temperature 이용(?)
              • ⇒ 1, 2, 3단계 등으로 조절할 수 있도록 (3으로 갈수록 더 수사적이고 비유적으로!)

            • Yeonsun
              • I like the second research ideation!
              • Interesting reference: Berlin and Key's 11 basic color terms
              • Need feedback for “How can the richness of expression be measured?”
                • I think it is also important to effectively provide rich color information to visually impaired individuals.
              • Q) I understand there are quite a few studies on providing image explanations for visually impaired individuals. How does this research differ from those? Did previous studies fail to provide accurate color information?
            • Sangeun
              • Page 3: What is the meaning of distorted images in your team?
                • Clear
              • Page 6: Max & Min value of model results
              • Page 8: [Same opportunity]
            • Jean
              • In page 5, how did you classified the collected data?
              • In page 6, how would you conclude about the performance?
              • In page 8, the statistics seems too outdated (it’s from 2005). Were there any recent reports to compare with?
            • Taehun
              • When the model checks the image, does it also check the background for equality?
                • If so, a preprocessing process would be needed to mask only the clothes and make them look the same.
            • Dokyun
              • In page 6, did you say that about 130 distorted images were restored? Then, how many images do you expect to need to properly learn the model?
              • Second topic is interesting. Text maybe helpful for people who are color blindness, color weakness, or are visually impaired.
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