PaperFlume
⌕
Accounts · soon

Library

0:00

Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material

Team Hunyuan3D; Shuhui Yang; Mingxin Yang; Yifei Feng; Xin Huang; Sheng Zhang; Zebin He; Di Luo; Haolin Liu; Yunfei Zhao; Qingxiang Lin; Zeqiang Lai; Xianghui Yang; Huiwen Shi; Zibo Zhao; Bowen Zhang; Hongyu Yan; Lifu Wang; Sicong Liu; Jihong Zhang; Meng Chen; Liang Dong; Yiwen Jia; Yulin Cai; Jiaao Yu; Yixuan Tang; Dongyuan Guo; Junlin Yu; Hao Zhang; Zheng Ye; Peng He; Runzhou Wu; Shida Wei; Chao Zhang; Yonghao Tan; Yifu Sun; Lin Niu; Shirui Huang; Bojian Zheng; Shu Liu; Shilin Chen; Xiang Yuan; Xiaofeng Yang; Kai Liu; Jianchen Zhu; Peng Chen; Tian Liu; Di Wang; Yuhong Liu; Linus; Jie Jiang; Jingwei Huang; Chunchao Guo

arXiv:2506.15442 4:06 CC BY 4.0 · adaptation, not endorsed by the authors Source checked · visual review incomplete

Download the deck .pptx Transcript .txt · cited Captions .vtt

Editable text and shapes, not pictures of slides.

Feedback

Was this worth your five minutes?

We are in beta. Tell us whether it helped — and if something is wrong, tell us that too.

Not rated
Goes to a person, not a form queue.
Next

Papers near this one.

Walkthroughs

8:59

NanoFLUX: Distillation-Driven Compression of Large Text-to-Image Generation Models for Mobile Devices

shares Neural rendering
5:01

LongLive-Plug: Once-for-All Distillation for Video Generation

2609.38154
shares Video generation
5:01

LongCat-Video-Avatar 1.5 Technical Report

2605.26486
shares Video generation

Short cuts

0:54

NanoFLUX: Distillation-Driven Compression of Large Text-to-Image Generation Models for Mobile Devices

shares Neural rendering
0:41

LongLive-Plug: Once-for-All Distillation for Video Generation

2609.38154
shares Video generation
0:36

LongCat-Video-Avatar 1.5 Technical Report

2605.26486
shares Video generation
Authors

Want one of these for your paper?

Send the PDF and we make the walkthrough, the deck and the reel. It stays private unless you publish it yourself.

Add your paper How it works
01

Something people finishFive minutes of method beats a PDF nobody opens past the abstract.

02

Slides for your next talkAn editable deck built from your own figures, with the narration in the notes.

03

A cut you can postFifty seconds, vertical, for the places a paper link gets ignored.

04

A page that can be foundA cited transcript sits on the page, so the words in your method are searchable.

Based on “Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material” by Team Hunyuan3D; Shuhui Yang; Mingxin Yang; Yifei Feng; Xin Huang; Sheng Zhang; Zebin He; Di Luo; Haolin Liu; Yunfei Zhao; Qingxiang Lin; Zeqiang Lai; Xianghui Yang; Huiwen Shi; Zibo Zhao; Bowen Zhang; Hongyu Yan; Lifu Wang; Sicong Liu; Jihong Zhang; Meng Chen; Liang Dong; Yiwen Jia; Yulin Cai; Jiaao Yu; Yixuan Tang; Dongyuan Guo; Junlin Yu; Hao Zhang; Zheng Ye; Peng He; Runzhou Wu; Shida Wei; Chao Zhang; Yonghao Tan; Yifu Sun; Lin Niu; Shirui Huang; Bojian Zheng; Shu Liu; Shilin Chen; Xiang Yuan; Xiaofeng Yang; Kai Liu; Jianchen Zhu; Peng Chen; Tian Liu; Di Wang; Yuhong Liu; Linus; Jie Jiang; Jingwei Huang; Chunchao Guo · arXiv:2506.15442 · CC BY 4.0 · licence checked 2026-10-27 · Changed from the original: rewritten as a narrated walkthrough with slides, using the paper's own figures. An adaptation, not endorsed by its authors.

Request takedown — we aim to answer within 72 hours.