跳至内容
  • 首页
  • 资讯
  • 资源下载
  • 行业方案
  • Job招聘
  • Paper论文
  • Patent专利
  • 映维会员
  • 导航收录
  • 合作
  • 关于
  • 微信群
  • All
  • XR
  • CV
  • CG
  • HCI
  • Video
  • Optics
  • Perception
  • Reconstruction

FlexGen: Flexible Multi-View Generation from Text and Image Inputs

编辑:广东客   |   分类:CV   |   2025年3月27日

Note: We don't have the ability to review paper

PubDate: Otc 2024

Teams:HKUST(GZ)1 HKUST2 Quwan3

Writers:Xinli Xu, Wenhang Ge, Jiantao Lin, Jiawei Feng, Lie Xu, HanFeng Zhao, Shunsi Zhang, Ying-Cong Chen

PDF:FlexGen: Flexible Multi-View Generation from Text and Image Inputs

Abstract

In this work, we introduce FlexGen, a flexible framework designed to generate controllable and consistent multi-view images, conditioned on a single-view image, or a text prompt, or both. FlexGen tackles the challenges of controllable multi-view synthesis through additional conditioning on 3D-aware text annotations. We utilize the strong reasoning capabilities of GPT-4V to generate 3D-aware text annotations. By analyzing four orthogonal views of an object arranged as tiled multi-view images, GPT-4V can produce text annotations that include 3D-aware information with spatial relationship. By integrating the control signal with proposed adaptive dual-control module, our model can generate multi-view images that correspond to the specified text. FlexGen supports multiple controllable capabilities, allowing users to modify text prompts to generate reasonable and corresponding unseen parts. Additionally, users can influence attributes such as appearance and material properties, including metallic and roughness. Extensive experiments demonstrate that our approach offers enhanced multiple controllability, marking a significant advancement over existing multi-view diffusion models. This work has substantial implications for fields requiring rapid and flexible 3D content creation, including game development, animation, and virtual reality. Project page: this https URL.

本文链接:https://paper.nweon.com/16252

您可能还喜欢...

  • HULC: 3D Human Motion Capture with Pose Manifold Sampling and Dense Contact Guidance

    2022年05月16日 映维

  • 8af25a32afe882b191eb0d16b23dab4f-thumb-medium

    Front Camera Eye Tracking For Mobile VR

    2020年12月30日 映维

  • d9b268224e6e90bb6b469146f13967c8-thumb-medium

    Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

    2020年07月31日 映维

关注:

最新AR/VR行业分享

  • ★ XR手术引导平台MediView完成2400万美元A轮融资 2025年10月7日
  • ★ “痛”临其境,疼痛感知将为XR带来全新维度 2025年10月7日
  • ★ 填补Vision Pro内容空白,苹果启动Vision Pro沉浸式内容创作工作坊 2025年10月7日
  • ★ 苹果推送visionOS 26.1开发者预览版23N5028e更新 2025年10月7日
  • ★ 彭博社:苹果2026年发布无屏智能眼镜,第二代设备将为带屏眼镜 2025年10月6日

最新AR/VR专利

  • ★ Samsung Patent | Method of manufacturing deposition mask and method of manufacturing display device using the deposition mask 2025年10月2日
  • ★ Sony Patent | Enabling the tracking of a remote-play client in virtual reality without additional sensors 2025年10月2日
  • ★ Sony Patent | Information processing apparatus and image generation method 2025年10月2日
  • ★ Sony Patent | Information processing device, information processing system, method for controlling information processing device, and program 2025年10月2日
  • ★ Sony Patent | Information processing apparatus, information processing system, information processing apparatus control method, and program 2025年10月2日

最新AR/VR行业招聘

  • ★ Microsoft AR/VR Job | High Performance Compute, Director 2025年6月5日
  • ★ Microsoft AR/VR Job | Data Center Technician/ Technicien de Centre de Données 2025年6月3日
  • ★ Microsoft AR/VR Job | Senior Product Designer 2025年5月16日
  • ★ Apple AR/VR Job | AirPlay Audio Engineer 2025年3月27日
  • ★ Apple AR/VR Job | iOS Perception Engineer 2025年3月27日
  • 首页
  • 资讯
  • 资源下载
  • 行业方案
  • Job招聘
  • Paper论文
  • Patent专利
  • 映维会员
  • 导航收录
  • 合作
  • 关于
  • 微信群

联系微信:ovalics

版权所有:广州映维网络有限公司 © 2025

备案许可:粤ICP备17113731号-2

备案粤公网安备:44011302004835号

友情链接: AR/VR行业导航

读者QQ群:251118691

Quest QQ群:526200310

开发者QQ群:688769630

Paper