Skip To Main Content
Yinda Zhang on Muck Rack

Yinda Zhang

As seen in: arXiv
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Yinda

Contact Yinda, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

GO-NeRF: Generating Objects in Neural Radiance Fields for Virtual Reality Content Creation

|
By Feitong Tan, Xin Yu, Yifan Peng, Yinda Zhang
| arXiv
[Submitted on 11 Jan 2024 ( v1 ), last revised 20 Sep 2024 (this version, v2)] Title:GO-NeRF: Generating Objects in Neural Radiance Fields for Virtual Reality Content Creation View a PDF of the paper titled GO-NeRF: Generating Objects in Neural Radiance Fields for Virtual Reality Content Creation, by Peng Dai and Feitong Tan and Xin Yu and Yifan Peng and Yinda Zhang and Xiaojuan Qi View PDF HTML (experimental) Abstract:Virtual environments (VEs) are pivotal for virtual, augmented, and mixed...
Open in Who Shared View Duplicates (686) Issue with article?

[2308.12590] Self-supervised Learning of Implicit Shape Representation with Dense Correspondence for Deformable Objects

|
By Jiahe Li, Xiaoming Deng, Yinda Zhang, Cuixia Ma
| arXiv
[Submitted on 24 Aug 2023 ( v1 ), last revised 25 Dec 2023 (this version, v2)] Title:Self-supervised Learning of Implicit Shape Representation with Dense Correspondence for Deformable Objects Download a PDF of the paper titled Self-supervised Learning of Implicit Shape Representation with Dense Correspondence for Deformable Objects, by Baowen Zhang and 5 other authors Download PDF HTML (experimental) Abstract:Learning 3D shape representation with dense correspondence for deformable objects is...
Open in Who Shared View Duplicates (113) Issue with article?
See all 2 articles