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BEGIN:VEVENT
DTSTAMP:20260417T190157Z
LOCATION:West Building\, Rooms 211-214
DTSTART;TZID=America/Los_Angeles:20250813T093000
DTEND;TZID=America/Los_Angeles:20250813T094000
UID:siggraph_SIGGRAPH 2025_sess128_papers_195@linklings.com
SUMMARY:Drag Your Gaussian: Effective Drag-Based Editing  with Score Disti
 llation for 3D Gaussian Splatting
DESCRIPTION:Yansong Qu, Dian Chen, and Xinyang Li (Xiamen University); Xia
 ofan Li (Baidu Inc.); and Shengchuan Zhang, Liujuan Cao, and Rongrong Ji (
 Xiamen University)\n\nDYG is a 3D drag-based scene editing method for Gaus
 sian Splatting that enables precise, multi-view consistent geometric edits
  using 3D masks and control points. It combines implicit triplane represen
 tation and a drag-based diffusion model for high-quality, fine-grained res
 ults. Visit our project page at \url{https://drag-your-gaussian.github.io/
 }.\n\nInterest Area: Research & Education\n\nRecording: Livestreamed, Not 
 Livestreamed, Recorded, Not Recorded\n\nRegistration Category: Full Confer
 ence, Virtual Access, Wednesday\n\nSession Chair: Yael Vinker (Massachuset
 ts Institute of Technology (MIT), MIT CSAIL)\n\n
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