no code implementations • 24 Mar 2024 • Han Yan, Yang Li, Zhennan Wu, Shenzhou Chen, Weixuan Sun, Taizhang Shang, Weizhe Liu, Tian Chen, Xiaqiang Dai, Chao Ma, Hongdong Li, Pan Ji
We present Frankenstein, a diffusion-based framework that can generate semantic-compositional 3D scenes in a single pass.
no code implementations • 12 Dec 2023 • Yuliang Gu, Zhichao Sun, Tian Chen, Xin Xiao, Yepeng Liu, Yongchao Xu, Laurent Najman
In this paper, we propose novel dual structure-aware image filterings (DSAIF) as the image-level variations for semi-supervised medical image segmentation.
no code implementations • 14 Oct 2023 • Ruinan Ma, Yu-an Tan, Shangbo Wu, Tian Chen, Yajie Wang, Yuanzhang Li
In the first stage, we use an encoder to invisibly write the watermark image into the output images of the original AIGC tool, and reversely extract the watermark image through the corresponding decoder.
1 code implementation • 22 May 2023 • Jinghan Yao, Nawras Alnaasan, Tian Chen, Aamir Shafi, Hari Subramoni, Dhabaleswar K., Panda
Inference on these models, by design, harnesses a temporal dependency, where the current token's probability distribution is conditioned on preceding tokens.
no code implementations • 13 May 2022 • Tian Chen, Ruyi Liu, Zhen Wu
All the results are different from those in the problem with fixed time horizon.
1 code implementation • CVPR 2021 • Xingyu Chen, Yufeng Liu, Chongyang Ma, Jianlong Chang, Huayan Wang, Tian Chen, Xiaoyan Guo, Pengfei Wan, Wen Zheng
In the root-relative mesh recovery task, we exploit semantic relations among joints to generate a 3D mesh from the extracted 2D cues.
no code implementations • 2 Dec 2020 • Samuel Poincloux, Tian Chen, Basile Audoly, Pedro Reis
We study the bending of a book-like system, comprising a stack of elastic plates coupled through friction.
Dimensionality Reduction Soft Condensed Matter
no code implementations • ECCV 2020 • Tian Chen, Shijie An, Yuan Zhang, Chongyang Ma, Huayan Wang, Xiaoyan Guo, Wen Zheng
Monocular depth estimation plays a crucial role in 3D recognition and understanding.
no code implementations • 13 Oct 2019 • Tian Chen, Lingge Li, Gabriel Elias, Norbert Fortin, Babak Shahbaba
We show that our method leads to substantially higher accuracy rate for neural decoding and allows to discover novel biological phenomena by providing a clear latent representation of the decoding process.