no code implementations • 18 Apr 2024 • Yiran Xu, Taesung Park, Richard Zhang, Yang Zhou, Eli Shechtman, Feng Liu, Jia-Bin Huang, Difan Liu
We introduce VideoGigaGAN, a new generative VSR model that can produce videos with high-frequency details and temporal consistency.
1 code implementation • 21 Nov 2023 • Nan Zhong, Yiran Xu, Sheng Li, Zhenxing Qian, Xinpeng Zhang
We observe that the texture patches of images tend to reveal more traces left by generative models compared to the global semantic information of the images.
1 code implementation • 15 Sep 2023 • Zhihao Hu, Yiran Xu, Mengnan Du, Jindong Gu, Xinmei Tian, Fengxiang He
Our adaptive reweighing method prioritizes samples closer to the decision boundary and assigns a higher weight to improve the generalizability of fair classifiers.
1 code implementation • ICCV 2023 • Yi-Ling Qiao, Alexander Gao, Yiran Xu, Yue Feng, Jia-Bin Huang, Ming C. Lin
Embedding polygonal mesh assets within photorealistic Neural Radience Fields (NeRF) volumes, such that they can be rendered and their dynamics simulated in a physically consistent manner with the NeRF, is under-explored from the system perspective of integrating NeRF into the traditional graphics pipeline.
no code implementations • 16 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.
no code implementations • 9 Feb 2023 • Yiran Xu, Zhixin Shu, Cameron Smith, Seoung Wug Oh, Jia-Bin Huang
3D-aware GANs offer new capabilities for view synthesis while preserving the editing functionalities of their 2D counterparts.
no code implementations • 21 Jun 2022 • Yiran Xu, Badour AlBahar, Jia-Bin Huang
Generative adversarial networks (GANs) have demonstrated impressive image generation quality and semantic editing capability of real images, e. g., changing object classes, modifying attributes, or transferring styles.
1 code implementation • CVPR 2020 • Yiran Xu, Xiaoyin Yang, Lihang Gong, Hsuan-Chu Lin, Tz-Ying Wu, Yunsheng Li, Nuno Vasconcelos
The new paradigm lies between the end-to-end and pipelined approaches, and is inspired by how humans solve the problem.
no code implementations • 20 Feb 2019 • Yishen Wang, Xiao Lu, Yiran Xu, Di Shi, Zhehan Yi, Jiajun Duan, Zhiwei Wang
Traditional load analysis is facing challenges with the new electricity usage patterns due to demand response as well as increasing deployment of distributed generations, including photovoltaics (PV), electric vehicles (EV), and energy storage systems (ESS).