Our Company Kujiale is at the forefront of developing cutting-edge 3D technologies and innovative user experiences, envisioning a future where creativity is unleashed, routine tasks are automated, and businesses can swiftly glean and respond to customer and market intelligence. Our research facilities are renowned for their contributions to top-tier publications and events, collaborate closely with product teams to refine high-impact features, and continuously scout for groundbreaking product prospects spanning diverse fields like Computer Vision, Computer Graphics, and Embodied-AI. The strength of our team lies in our extensive and varied dataset of 3D scenes and assets, reaching the billion mark, which serves as a robust foundation for our innovative research and development. Coupled with this is our access to substantial GPU resources, boasting tens of thousands of state-of-the-art 4090 GPUs, empowering our team to handle massive computational workloads and process complex data sets with unparalleled efficiency. This combination of rich data and powerful hardware accelerates our ability to push the boundaries of what's possible in the realm of 3D technology and AI-driven solutions. • Previous Projects and Datasets(Selected): • InteriorNet: https://interiornet.org/ • InteriorVerse: https://interiorverse.github.io/ • SPEAR: https://github.com/isl-org/spear • Structure3D: https://structured3d-dataset.org The Opportunity "Global Talents Plan"(GTP) is an international academic cooperation project initiated by Kujiale. The project is designed to engage talented and professional partners in the fields of Computer Vision and Computer Graphics. We aim to foster academic contributions by encouraging participants to delve into and utilize our data resources. The GTP is now open to global applicants pursuing PhD and master’s candidates, as well as to university laboratories and non-profit research institutions. Research focuses on the following research areas • 3D Graphic Rendering • Geometry Processing and Generation • Image Processing and Generation • Pattern Recognition and Machine Learning Modes of Cooperation • Project Collaboration: Jointly determine research topics, with participants conducting academic research on datasets provided by Kujiale. • Research Outcomes Sharing: Results produced by the research are shared between both parties, with a preference for MIT open-source projects. What You Will Get Working directly with Kujiale scientists, you will have access to rich 2/3D data, robust computational resources and leading-edge product, empowering you to see your work reach millions of users across the globe. Who We Are Looking For • Current PhD or master's students, university laboratories and non-profit research institutions in computer vision and computer graphics, or related field. • Sufficient research skills and background in your chosen subject area. • Strong communication skills and teamwork experience. • Passion for solving real-world problems with web-scale data using and inventing state-of-the-art Machine Learning algorithms. • Language Skills: English or Mandarin Chinese. Application Process 1. Submission of Application Materials: Applicants must prepare and submit complete application materials as required. (1) List of Materials: ①*Applicant Information Introduction: Including but not limited to the following content: • Personal Basic Information • Professional Background • Research Experience • Academic Achievements ②*Research Direction Proposal: Must elaborate on research objectives, methods, expected outcomes, and relevance to 3D data resources, including but not limited to the following content: • Research Background and Significance • Research Questions and Objectives • Research Methods and Technical Approaches • Expected Outcomes and Impact • Requirements and Application Plan for 3D Data Resources ③Letters of Recommendation: If you are an individual, letters of recommendation from the applicant's university laboratory or research institution are required. These should be provided by your supervisor or relevant academic authority, certifying the applicant's research capabilities and the feasibility of the project. (2) Submission Email Addresses: nansheng@qunhemail.com / jiangjing@qunhemail.com 2. Material Assessment: Kujiale Research Lab will review the materials and assess their suitability. 3. Communication Arrangement: Applicants who pass the material review will receive an invitation for further communication and a time will be scheduled. 4. Cooperation Decision: Kujiale Research Lab will make the final cooperation decision based on the application materials and the communication. 5. Signing of Cooperation Agreement: Both parties will sign a cooperation agreement. -Note: If you are an individual, the university laboratory or research institution to which they belong must participate in the signing of the cooperation agreement as the secondary party. Contact Information For further contact, please email: nansheng@qunhemail.com / jiangjing@qunhemail.com