Search Results for author: Ting-Hsuan Liao

Found 4 papers, 1 papers with code

Text-driven Visual Synthesis with Latent Diffusion Prior

no code implementations16 Feb 2023 Ting-Hsuan Liao, Songwei Ge, Yiran Xu, Yao-Chih Lee, Badour AlBahar, Jia-Bin Huang

There has been tremendous progress in large-scale text-to-image synthesis driven by diffusion models enabling versatile downstream applications such as 3D object synthesis from texts, image editing, and customized generation.

Image Generation Text to 3D

ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDA

1 code implementation16 Nov 2022 Ting-Hsuan Liao, Huang-Ru Liao, Shan-Ya Yang, Jie-En Yao, Li-Yuan Tsao, Hsu-Shen Liu, Bo-Wun Cheng, Chen-Hao Chao, Chia-Che Chang, Yi-Chen Lo, Chun-Yi Lee

Despite their effectiveness, using depth as domain invariant information in UDA tasks may lead to multiple issues, such as excessively high extraction costs and difficulties in achieving a reliable prediction quality.

Semantic Segmentation Synthetic-to-Real Translation +1

Pixel-Wise Prediction based Visual Odometry via Uncertainty Estimation

no code implementations18 Aug 2022 Hao-Wei Chen, Ting-Hsuan Liao, Hsuan-Kung Yang, Chun-Yi Lee

This paper introduces pixel-wise prediction based visual odometry (PWVO), which is a dense prediction task that evaluates the values of translation and rotation for every pixel in its input observations.

Translation Visual Odometry

Investigation of Factorized Optical Flows as Mid-Level Representations

no code implementations9 Mar 2022 Hsuan-Kung Yang, Tsu-Ching Hsiao, Ting-Hsuan Liao, Hsu-Shen Liu, Li-Yuan Tsao, Tzu-Wen Wang, Shan-Ya Yang, Yu-Wen Chen, Huang-Ru Liao, Chun-Yi Lee

In this paper, we introduce a new concept of incorporating factorized flow maps as mid-level representations, for bridging the perception and the control modules in modular learning based robotic frameworks.

Optical Flow Estimation reinforcement-learning +1

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