GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds-Reference-Cited by-同舟云学术

GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
Short-container-title:

Author:

Hao Zekun¹,Mallya Arun¹,Belongie Serge²,Liu Ming-Yu¹

Affiliation:

1. NVIDIA

2. Cornell University

Publisher

IEEE

Link

Reference73 articles.

1. Unsupervised domain adaptation for semantic segmentation via class-balanced self-training;zou;ECCV,2018

2. Toward multimodal image-to-image translation;zhu;NeurIPS,2017

4. Image GANs meet differentiable rendering for inverse graphics and interpretable 3d neural rendering;zhang;ICLRE,2021

5. NeRF: Representing scenes as neural radiance fields for view synthesis;mildenhall;ECCV,2020

Cited by 60 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24;2024-07-13

3. Coin3D: Controllable and Interactive 3D Assets Generation with Proxy-Guided Conditioning;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24;2024-07-13

5. Multimodal Content Generation;Synthesis Lectures on Computer Vision;2024-06-26