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BEGIN:VEVENT
DTSTAMP:20260417T190157Z
LOCATION:West Building\, Rooms 118-120
DTSTART;TZID=America/Los_Angeles:20250814T092000
DTEND;TZID=America/Los_Angeles:20250814T093000
UID:siggraph_SIGGRAPH 2025_sess157_papers_595@linklings.com
SUMMARY:High-Fidelity Novel View Synthesis via Splatting-Guided Diffusion
DESCRIPTION:Xiang Zhang (ETH Zürich, DisneyResearch|Studios); Yang Zhang a
 nd Lukas Mehl (DisneyResearch|Studios); Markus Gross (ETH Zürich, DisneyRe
 search|Studios); and Christopher Schroers (DisneyResearch|Studios)\n\nWe p
 resent SplatDiff, a pixel-splatting-guided diffusion model for single-imag
 e novel view synthesis (NVS). Leveraging pixel splatting and video diffusi
 on, SplatDiff generates high-quality novel views with consistent geometry 
 and high-fidelity details. SplatDiff achieves state-of-the-art results in 
 single-view NVS and demonstrates remarkable zero-shot performance on spars
 e-view NVS and stereo video conversion.\n\nInterest Area: Research & Educa
 tion\n\nRecording: Livestreamed, Not Livestreamed, Recorded, Not Recorded\
 n\nRegistration Category: Full Conference, Virtual Access, Thursday\n\nSes
 sion Chair: Karol Myszkowski (Max Planck Institute for Informatics)\n\n
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