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20212024
most citedText-driven Visual Synthesis with Latent Diffusion Prior

3 citations · 8 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024

Generative Omnimatte: Learning to Decompose Video into Layers

Yao-Chih Lee, Erika Lu, Sarah Rumbley +4

Given a video and a set of input object masks, an omnimatte method aims to decompose the video into semantically meaningful layers containing individual objects along with their as…

cs.CV2024★ 1 cited

VividDream: Generating 3D Scene with Ambient Dynamics

Yao-Chih Lee, Yi-Ting Chen, Andrew Wang +3

We introduce VividDream, a method for generating explorable 4D scenes with ambient dynamics from a single input image or text prompt. VividDream first expands an input image into a…

cs.CV2023

Fast View Synthesis of Casual Videos with Soup-of-Planes

Yao-Chih Lee, Zhoutong Zhang, Kevin Blackburn-Matzen +4

Novel view synthesis from an in-the-wild video is difficult due to challenges like scene dynamics and lack of parallax. While existing methods have shown promising results with imp…

cs.CV2023★ 3 cited

Text-driven Visual Synthesis with Latent Diffusion Prior

Ting-Hsuan Liao, Songwei Ge, Yiran Xu +3

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 tex…

cs.CV2023

Shape-aware Text-driven Layered Video Editing

Yao-Chih Lee, Ji-Ze Genevieve Jang, Yi-Ting Chen +2

Temporal consistency is essential for video editing applications. Existing work on layered representation of videos allows propagating edits consistently to each frame. These metho…

cs.CV2022★ 1 cited

Globally Consistent Video Depth and Pose Estimation with Efficient Test-Time Training

Yao-Chih Lee, Kuan-Wei Tseng, Guan-Sheng Chen +1

Dense depth and pose estimation is a vital prerequisite for various video applications. Traditional solutions suffer from the robustness of sparse feature tracking and insufficient…

cs.CV2021★ 3 cited

Part-Aware Measurement for Robust Multi-View Multi-Human 3D Pose Estimation and Tracking

Hau Chu, Jia-Hong Lee, Yao-Chih Lee +3

This paper introduces an approach for multi-human 3D pose estimation and tracking based on calibrated multi-view. The main challenge lies in finding the cross-view and temporal cor…