no code implementations • ACL (splurobonlp) 2021 • Georgiy Platonov, Yifei Yang, HaoYu Wu, Jonathan Waxman, Marcus Hill, Lenhart Schubert
Understanding spatial expressions and using them appropriately is necessary for seamless and natural human-machine interaction.
no code implementations • 18 Dec 2024 • Runtao Liu, HaoYu Wu, Zheng Ziqiang, Chen Wei, Yingqing He, Renjie Pi, Qifeng Chen
Unlike previous image alignment methods that focus solely on either (i) visual quality or (ii) semantic alignment between text and videos, we comprehensively consider both dimensions and construct a preference score accordingly, which we term the OmniScore.
1 code implementation • 26 Nov 2024 • Yixiong Yang, Shilin Hu, HaoYu Wu, Ramon Baldrich, Dimitris Samaras, Maria Vanrell
By leveraging scene information provided by different light source positions complementing the multi-view information, we generate pseudo-label images for reflectance and shading to guide intrinsic image decomposition without the need for ground truth data.
no code implementations • 17 Nov 2024 • HaoYu Wu, Meher Gitika Karumuri, Chuhang Zou, Seungbae Bang, Yuelong Li, Dimitris Samaras, Sunil Hadap
Current image-to-3D approaches suffer from high computational costs and lack scalability for high-resolution outputs.
no code implementations • 15 Sep 2024 • HaoYu Wu, Ziqiao Peng, Xukun Zhou, Yunfei Cheng, Jun He, Hongyan Liu, Zhaoxin Fan
Specifically, VGG-Tex includes a Facial Attributes Encoding Module, a Geometry-Guided Texture Generator, and a Visibility-Enhanced Texture Completion Module.
no code implementations • 16 Jun 2024 • Yixiong Yang, Shilin Hu, HaoYu Wu, Ramon Baldrich, Dimitris Samaras, Maria Vanrell
The task of extracting intrinsic components, such as reflectance and shading, from neural radiance fields is of growing interest.
no code implementations • ICCV 2023 • HaoYu Wu, Alexandros Graikos, Dimitris Samaras
We thus propose to regularize neural rendering optimization with an MVS solution.
2 code implementations • ICCV 2023 • Ziqiao Peng, HaoYu Wu, Zhenbo Song, Hao Xu, Xiangyu Zhu, Jun He, Hongyan Liu, Zhaoxin Fan
Specifically, we introduce the emotion disentangling encoder (EDE) to disentangle the emotion and content in the speech by cross-reconstructed speech signals with different emotion labels.