3D Generative AI Research Intern

Australia-Sydney

Tencent

腾讯于1998年11月成立,是一家互联网公司,通过技术丰富互联网用户的生活,助力企业数字化升级。我们的使命是“用户为本 科技向善”。Founded in 1998, Tencent is an Internet-based platform company using technology to enrich the lives of Internet users and assist the digital upgrade of enterprises. Our mission...

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Responsibilities:

LightSpeed Studios is one of the world’s most innovative and successful game developers. With team across China, United States, Singapore, Canada, United Kingdom, France, Japan, South Korea, New Zealand, and United Arab Emirates. We are expanding to more countries.

Founded in 2008, LightSpeed Studios has created over 50 games across multiple platforms and genres for over 4 billion registered users. It is the co-developer of worldwide hits PUBG MOBILE, Apex Legends Mobile, and League of Legends: Wild Rift (Chinese Version). 

Lightspeed & Quantum Tech Center is a R&D department under Lightspeed & Quantum Studios which develop PUBG Mobile and other high-quality games. Our Tech Center leads the research, exploration, and discovery of innovative technologies and provides technical services for all games during all phases of life cycle, including engine, audio, QA, AI, next generation game, technical cooperation, etc.

Responsibilities:

  • Develop AI systems that generate high-quality 3D models from text descriptions or image inputs, applicable to game production and other application scenarios.

  • Optimize large AIGC models (3D generation) to improve quality, speed, diversity, and controllability, and promote the industrial deployment and product implementation of generated 3D models.

  • Collaborate across teams to seamlessly integrate 3D models into gaming environments, enhance player experience, and advance the application of AI technology in specific business scenarios.

Requirements:
  • Master or PHD Degree in Computer Vision or Computer Graphics.

  • Experience in directions such as 3D model generation, UV texture generation, PBR material generation, automatic rigging, and automatic mesh skinning.

  • Experience in using and training AI models such as Diffusion, ViT, DiT, GAN, ControlNet, LoRA, IP-Adapter, Inpainting, Super Resolution, etc.

  • Experience in building 3D datasets (characters, objects, scenes) and various 3D data processing (Mesh, Voxel, NeRF, Triplane, SDF, GaussianSplatting, FlexiCubes, etc.).

  • Strong learning ability, self-motivation, clear logical thinking ability, excellent communication skills, and teamwork skills.

  • Proficiency in at least one programming language (e.g., Python, C/C++), mastery of deep learning frameworks, strong coding capabilities, and those with ACM regional competition gold medals or influential open-source projects are preferred.

Preferred:

  • Publications in top computer vision and graphics conferences and journals (such as CVPR, ICCV, ECCV, SIGGRAPH/Asia, NIPS, ICML, PAMI, IJCV, TOG, TVCG, etc.).

  • Prior experience with practical 3D modeling software (e.g., Maya, Blender, 3DS Max) or game engines (e.g., Unity, Unreal Engine).

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Tags: Apex Blender Computer Vision ControlNet Deep Learning Generative AI ICML Industrial LoRA NeRFs Open Source PhD Python R R&D Research

Perks/benefits: Conferences

Region: Asia/Pacific
Country: Australia

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