no code implementations • 4 Apr 2024 • Zijie Wu, Chaohui Yu, Yanqin Jiang, Chenjie Cao, Fan Wang, Xiang Bai
Recent advances in 2D/3D generative models enable the generation of dynamic 3D objects from a single-view video.
no code implementations • 21 Mar 2024 • Haoran Hou, Mingtao Feng, Zijie Wu, Weisheng Dong, Qing Zhu, Yaonan Wang, Ajmal Mian
In this work, we focus on the distributional properties of point clouds and formulate the voting process as generating new points in the high-density region of the distribution of object centers.
no code implementations • 21 Mar 2024 • Zijie Wu, Mingtao Feng, Yaonan Wang, He Xie, Weisheng Dong, Bo Miao, Ajmal Mian
Generating realistic 3D scenes is challenging due to the complexity of room layouts and object geometries. We propose a sketch based knowledge enhanced diffusion architecture (SEK) for generating customized, diverse, and plausible 3D scenes.
no code implementations • 20 Mar 2024 • Qitong Yang, Mingtao Feng, Zijie Wu, ShiJie Sun, Weisheng Dong, Yaonan Wang, Ajmal Mian
To address this, we propose a novel framework that generates coherent 4D sequences with animation of 3D shapes under given conditions with dynamic evolution of shape and color over time through integrative latent mapping.
no code implementations • 28 Nov 2023 • Ling Fu, Zijie Wu, Yingying Zhu, Yuliang Liu, Xiang Bai
We contend that one main limitation of existing generation methods is the insufficient integration of foreground text with the background.
no code implementations • 12 Oct 2023 • Zijie Wu, Chaohui Yu, Zhen Zhu, Fan Wang, Xiang Bai
To utilize the abundant visual priors in the off-the-shelf T2I models, a series of methods try to invert an image to proper embedding that aligns with the semantic space of the T2I model.
no code implementations • ICCV 2023 • Zijie Wu, Yaonan Wang, Mingtao Feng, He Xie, Ajmal Mian
In this paper, we propose a sketch and text guided probabilistic diffusion model for colored point cloud generation that conditions the denoising process jointly with a hand drawn sketch of the object and its textual description.
no code implementations • 10 May 2023 • Xudong Xie, Zhen Zhu, Zijie Wu, Zhiliang Xu, Yingying Zhu
To our knowledge, ours is the first scheme for this challenging task, including model, training, and evaluation.
no code implementations • CVPR 2023 • Mingtao Feng, Haoran Hou, Liang Zhang, Zijie Wu, Yulan Guo, Ajmal Mian
In-depth understanding of a 3D scene not only involves locating/recognizing individual objects, but also requires to infer the relationships and interactions among them.
1 code implementation • 11 Jul 2022 • Zijie Wu, Zhen Zhu, Junping Du, Xiang Bai
CCPL can preserve the coherence of the content source during style transfer without degrading stylization.
no code implementations • 11 Jun 2020 • Zijie Wu, Yaonan Wang, Qing Zhu, Jianxu Mao, Haotian Wu, Mingtao Feng, Ajmal Mian
Different from the most existing point set registration methods which usually extract the descriptors to find correspondences between point sets, our proposed MPE alignment method is able to handle large scale raw data offset without depending on traditional descriptors extraction, whether for the local or global registration methods.