Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
97 tokens/sec
GPT-4o
53 tokens/sec
Gemini 2.5 Pro Pro
44 tokens/sec
o3 Pro
5 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

SHREC'22 Track: Sketch-Based 3D Shape Retrieval in the Wild (2207.04945v1)

Published 11 Jul 2022 in cs.CV, cs.GR, and cs.MM

Abstract: Sketch-based 3D shape retrieval (SBSR) is an important yet challenging task, which has drawn more and more attention in recent years. Existing approaches address the problem in a restricted setting, without appropriately simulating real application scenarios. To mimic the realistic setting, in this track, we adopt large-scale sketches drawn by amateurs of different levels of drawing skills, as well as a variety of 3D shapes including not only CAD models but also models scanned from real objects. We define two SBSR tasks and construct two benchmarks consisting of more than 46,000 CAD models, 1,700 realistic models, and 145,000 sketches in total. Four teams participated in this track and submitted 15 runs for the two tasks, evaluated by 7 commonly-adopted metrics. We hope that, the benchmarks, the comparative results, and the open-sourced evaluation code will foster future research in this direction among the 3D object retrieval community.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (25)
  1. Jie Qin (68 papers)
  2. Shuaihang Yuan (17 papers)
  3. Jiaxin Chen (55 papers)
  4. Boulbaba Ben Amor (14 papers)
  5. Yi Fang (151 papers)
  6. Nhat Hoang-Xuan (4 papers)
  7. Chi-Bien Chu (4 papers)
  8. Khoi-Nguyen Nguyen-Ngoc (4 papers)
  9. Thien-Tri Cao (1 paper)
  10. Nhat-Khang Ngo (1 paper)
  11. Tuan-Luc Huynh (5 papers)
  12. Hai-Dang Nguyen (13 papers)
  13. Minh-Triet Tran (70 papers)
  14. Haoyang Luo (7 papers)
  15. Jianning Wang (4 papers)
  16. Zheng Zhang (488 papers)
  17. Zihao Xin (1 paper)
  18. Yang Wang (672 papers)
  19. Feng Wang (408 papers)
  20. Ying Tang (36 papers)
Citations (9)

Summary

We haven't generated a summary for this paper yet.