SemCity: Semantic Scene Generation with Triplane Diffusion

1 code implementation • 12 Mar 2024 • Jumin Lee, Sebin Lee, Changho Jo, Woobin Im, Juhyeong Seon, Sung-Eui Yoon

In this paper, we concentrate on generating a real-outdoor scene through learning a diffusion model on a real-world outdoor dataset.

Scene Generation

Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data

1 code implementation • 2 Jan 2023 • Jumin Lee, Woobin Im, Sebin Lee, Sung-Eui Yoon

To the best of our knowledge, our work is the first to apply discrete and latent diffusion for 3D categorical data on a scene-scale.

Semi-Supervised Learning of Optical Flow by Flow Supervisor

1 code implementation • 21 Jul 2022 • Woobin Im, Sebin Lee, Sung-Eui Yoon

A training pipeline for optical flow CNNs consists of a pretraining stage on a synthetic dataset followed by a fine tuning stage on a target dataset.

Optical Flow Estimation