SceneComp @ ICCV 2025

Generative Scene Completion for Immersive Worlds

Morning Session on Monday, October 20

This workshop focuses on generative scene completion, which is indispensable for world models, VR/AR, telepresence, autonomous driving, and robotics. It explores how generative models can help reconstruct photorealistic 3D environments from sparse or partial input data by filling in occluded or unseen spaces. Topics include world models, generative models, inpainting, artifact removal, uncertainty, controllability, and handling of casual data. We will discuss how related directions like text-to-3D and single-image-to-3D compare with scene completion, where more input constraints must be satisfied. The workshop highlights key challenges and recent progress in transforming incomplete real-world captures into immersive environments.

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Schedule

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(Hawaii 🏖️) Time Speaker
08:50 – 09:00 Opening remark
09:00 – 09:35 Peter Kontschieder
09:35 – 10:10 Angela Dai
10:10 – 10:45 Aleksander Hołyński
10:45 — 10:50 Coffee Break
10:50 – 11:25 Varun Jampani
11:25 – 12:00 Zan Gojcic
12:00 – 12:35 Andrea Tagliasacchi
12:35 – 12:40 Closing remark

Speakers

Peter Kontschieder

Peter Kontschieder
Meta
Reality Labs

Angela Dai

Angela Dai
TU Munich

Varun Jampani

Varun Jampani
Stability AI

Zan Gojcic

Zan Gojcic
NVIDIA Zurich

Andrea Tagliasacchi

Andrea Tagliasacchi
SFU /
Google DeepMind

Organizers

Ethan Weber

Ethan Weber
Meta
Reality Labs

Lily Goli

Lily Goli
University of
Toronto

Angjoo Kanazawa

Angjoo Kanazawa
UC Berkeley

Jiajun Wu

Jiajun Wu
Stanford

Norman MĂĽller

Norman MĂĽller
Meta
Reality Labs

Christian Richardt

Christian Richardt
Meta
Reality Labs