๋ณธ๋ฌธ ๋ฐ”๋กœ๊ฐ€๊ธฐ

paper review2

[Paper Review] 3D Gaussian Splatting for Real-Time Radiance Field Rendering ์ด ๋…ผ๋ฌธ ๋‚ด์šฉ์œผ๋กœ ๋“ค์–ด๊ฐ€๊ธฐ ์ „์— Pinhole Camera Model ์— ๋Œ€ํ•ด์„œ ์–ด๋Š ์ •๋„ ์ดํ•ด๋ฅผ ํ•˜๊ณ  ๊ฐ€๋ฉด ์ข‹๋‹ค.  Abstract1080p ํ•ด์ƒ๋„์˜ ๋ฌด์ œํ•œ ๋ฐ ์™„์ „ํ•œ ์žฅ๋ฉด์˜ ๋ Œ๋”๋ง์—์„œ๋Š” ์ด์ „๊นŒ์ง€๋Š” ์–ด๋–ค ๋ฐฉ๋ฒ•๋„ ์‹ค์‹œ๊ฐ„ ๋””์Šคํ”Œ๋ ˆ์ด ์†๋„(≥30 fps)๋ฅผ ๋‹ฌ์„ฑํ•˜์ง€ ๋ชปํ•˜๊ณ  ์žˆ๋‹ค.์ด ๋…ผ๋ฌธ์—์„œ๋Š” 1080p ํ•ด์ƒ๋„์—์„œ ๊ณ ํ’ˆ์งˆ ์‹ค์‹œ๊ฐ„(≥30 fps) ์ƒˆ๋กœ์šด ์‹œ์  ํ•ฉ์„ฑ์„ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•˜๋Š” ์„ธ ๊ฐ€์ง€ ์ฃผ์š” ์š”์†Œ๋ฅผ ์†Œ๊ฐœํ•œ๋‹ค.1. 3D ๊ฐ€์šฐ์‹œ์•ˆ ํ™œ์šฉ: ์นด๋ฉ”๋ผ ์บ˜๋ฆฌ๋ธŒ๋ ˆ์ด์…˜ ๊ณผ์ •์—์„œ ์ƒ์„ฑ๋œ ํฌ์†Œ ํฌ์ธํŠธ๋ฅผ ์‹œ์ž‘์œผ๋กœ, ์žฅ๋ฉด์„ 3D ๊ฐ€์šฐ์‹œ์•ˆ์œผ๋กœ ํ‘œํ˜„ํ•˜์—ฌ ์—ฐ์†์ ์ธ ๋ณผ๋ฅจ๊ธฐ๋ฐ˜ Radiance Field ์˜ ์žฅ์ ์„ ์œ ์ง€ํ•˜๋ฉด์„œ ๋นˆ ๊ณต๊ฐ„์—์„œ์˜ ๋ถˆํ•„์š”ํ•œ ๊ณ„์‚ฐ์„ ํ”ผํ•œ๋‹ค.2. ์ตœ์ ํ™”์™€ ๋ฐ€๋„ ์ œ์–ด: 3D ๊ฐ€์šฐ์‹œ์•ˆ์˜ ๋น„๋“ฑ๋ฐฉ์„ฑ ๊ณต๋ถ„์‚ฐ์„ ์ตœ์ ํ™”ํ•˜์—ฌ ์žฅ๋ฉด์„ ์ •.. 2024. 12. 14.
[Paper Review] PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation PointNet: Deep Learning on Point Sets for 3D Classification and SegmentationCharles R. Qi* Hao Su* Kaichun Mo Leonidas J. Guibas Stanford University   AbstractPoint cloud ๋Š” ๊ธฐํ•˜ํ•™ ๋ฐ์ดํ„ฐ ๊ตฌ์กฐ์—์„œ ์ค‘์š”ํ•œ ์š”์†Œ์ด๋‹ค.๊ธฐ์กด ์—ฐ๊ตฌ์ž๋“ค์€ Point cloud ์˜ ๋น„๊ทœ์น™์ ์ธ ๊ตฌ์„ฑ ๋•Œ๋ฌธ์— ์ด๋Ÿฌํ•œ ๋ฐ์ดํ„ฐ๋ฅผ 3D voxel girds๋‚˜ Image collections๋กœ ๋ณ€ํ™˜ํ–ˆ๋‹ค.=> ์ด์™€ ๊ฐ™์€ ๊ฒฝ์šฐ ๋ฐ์ดํ„ฐ๋ฅผ ๊ณผ๋„ํ•˜๊ฒŒ ์ƒ์„ธํ•˜๊ฒŒ ์ €์žฅํ•˜๊ฑฐ๋‚˜ ์ฒ˜๋ฆฌํ•˜๋Š” ๋ฐฉ์‹์ด ๋ถˆํ•„์š”ํ•˜๊ฒŒ ๋งŽ์•„์ ธ์„œ ์„ฑ๋Šฅ์ €ํ•˜๋‚˜ ์‹œ์Šคํ…œ ๋ฌธ์ œ๊ฐ€ ๋ฐœ์ƒํ•  ์ˆ˜๋„ ์žˆ๋‹ค.๊ทธ๋ฆฌํ•˜์—ฌ, ์ด ๋…ผ๋ฌธ์—์„œ๋Š” input์œผ๋กœ ๋“ค์–ด์˜ค๋Š” points๋“ค์˜ ์ˆœ์—ด ๋ถˆ๋ณ€.. 2024. 10. 18.

ํ‹ฐ์Šคํ† ๋ฆฌํˆด๋ฐ”