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of 842
pro vyhledávání: '"Lei, Na"'
Recent CLIP-guided 3D generation methods have achieved promising results but struggle with generating faithful 3D shapes that conform with input text due to the gap between text and image embeddings. To this end, this paper proposes HOTS3D which make
Externí odkaz:
http://arxiv.org/abs/2407.14419
This paper introduces a novel method for reconstructing meshes from sparse point clouds by predicting edge connection. Existing implicit methods usually produce superior smooth and watertight meshes due to the isosurface extraction algorithms~(e.g.,
Externí odkaz:
http://arxiv.org/abs/2407.11610
Autor:
Hu, Jiangbei, Li, Yanggeng, Hou, Fei, Hou, Junhui, Zhang, Zhebin, Wang, Shengfa, Lei, Na, He, Ying
Unsigned distance fields (UDFs) provide a versatile framework for representing a diverse array of 3D shapes, encompassing both watertight and non-watertight geometries. Traditional UDF learning methods typically require extensive training on large da
Externí odkaz:
http://arxiv.org/abs/2407.01330
Texture mapping is a common technology in the area of computer graphics, it maps the 3D surface space onto the 2D texture space. However, the loose texture space will reduce the efficiency of data storage and GPU memory addressing in the rendering pr
Externí odkaz:
http://arxiv.org/abs/2406.04115
This paper presents a novel point cloud compression method COT-PCC by formulating the task as a constrained optimal transport (COT) problem. COT-PCC takes the bitrate of compressed features as an extra constraint of optimal transport (OT) which learn
Externí odkaz:
http://arxiv.org/abs/2403.08236
Autor:
Hu, Jiangbei, Fei, Ben, Xu, Baixin, Hou, Fei, Yang, Weidong, Wang, Shengfa, Lei, Na, Qian, Chen, He, Ying
We introduce a new generative model that combines latent diffusion with persistent homology to create 3D shapes with high diversity, with a special emphasis on their topological characteristics. Our method involves representing 3D shapes as implicit
Externí odkaz:
http://arxiv.org/abs/2401.17603
Sampling from diffusion probabilistic models (DPMs) can be viewed as a piecewise distribution transformation, which generally requires hundreds or thousands of steps of the inverse diffusion trajectory to get a high-quality image. Recent progress in
Externí odkaz:
http://arxiv.org/abs/2307.11308
With the widespread application of optimal transport (OT), its calculation becomes essential, and various algorithms have emerged. However, the existing methods either have low efficiency or cannot represent discontinuous maps. A novel reusable neura
Externí odkaz:
http://arxiv.org/abs/2306.08233
Autor:
Qiang Zhang, Yu Zhang, Hui Chen, Lei-Na Sun, Bin Zhang, Dong-Sheng Yue, Chang-Li Wang, Zhen-Fa Zhang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The need for tumor postoperative treatments aimed at recurrence prevention and tissue regeneration have raised wide considerations in the context of the design and functionalization of implants. Herein, an injectable hydrogel system encapsul
Externí odkaz:
https://doaj.org/article/cf2bc6d2e7054c30ac91e480968474e9
Intelligent Mesh Generation (IMG) represents a novel and promising field of research, utilizing machine learning techniques to generate meshes. Despite its relative infancy, IMG has significantly broadened the adaptability and practicality of mesh ge
Externí odkaz:
http://arxiv.org/abs/2211.06009