Produce an image that represents Real-World Applic.jpg

✨ νŒ€ μ†Œκ°œ

<aside> πŸ’‘ μ΅œμ‹  text-to-image generation, text-to-video generation, 그리고 text-to-3d generation λͺ¨λΈλ“€μ— λŒ€ν•΄ λ…Όλ¬Έ 및 μ½”λ“œ λ¦¬λ·°ν•˜λ©΄μ„œ 이둠적으둜 접근해보고, diffusion model 을 ν™œμš©ν•œ μ‘μš©μ‚¬λ‘€ 확인 및 fine-tuning 을 λΉ„λ‘―ν•œ λ‹€μ–‘ν•œ μ‹€ν—˜λ“€μ„ ν•˜κ³ μž ν•©λ‹ˆλ‹€.

</aside>

βš‘Β νŒ€ Github

GitHub - Pseudo-Lab/text-to-image-generation-feat-diffusion: :bulb:Text-to-Image Generation (feat. Diffusion): paper/code review and experimental findings related to text-to-image generation and diffusion-based models

βš‘Β νŒ€ 기술 λΈ”λ‘œκ·Έ

[PseudoLab] Text-to-Image Generation (feat. Diffusion) β€” Text-to-Image Generation-feat-Diffusion

🚩 λΉŒλ” μ†Œκ°œ

μ•ˆλ…•ν•˜μ„Έμš”, μˆ˜ν•™μ΄ μ μš©λ˜λŠ” λͺ¨λ“  뢄야에 관심이 λ§Žμ€ AI Research Engineer μ‘°μƒμš°μž…λ‹ˆλ‹€. 6κΈ°, 7기에 μ΄μ–΄μ„œ text-to-image generation λΌλŠ” 주제둜 μŠ€ν„°λ”” 그룹을 μ—΄κ²Œ λ˜μ—ˆμŠ΅λ‹ˆλ‹€. 이미지 생성λͺ¨λΈμ— 관심이 μžˆλŠ” λΆ„λ“€κ³Ό ν•¨κ»˜ μœ μ΅ν•œ μ‹œκ°„μ„ 보낼 수 μžˆλ„λ‘ μ΅œμ„ μ„ λ‹€ν•˜κ² μŠ΅λ‹ˆλ‹€. 잘 λΆ€νƒλ“œλ¦½λ‹ˆλ‹€.

μ‘°μƒμš° (Sangwoo Jo)

πŸ“œ νŒ€μ˜ ν”„λ‘œμ νŠΈ


제λͺ© μ—†λŠ” λ°μ΄ν„°λ² μ΄μŠ€

✨ ν•˜μ΄λΌμ΄νŠΈ


제λͺ© μ—†λŠ” λ°μ΄ν„°λ² μ΄μŠ€

πŸ’« νŒ€ 멀버

| κ°€μ§œμ—°κ΅¬μ†Œ νŒ€μ›

πŸ“š 자료 아카이빙


곡유 자료 DB