Responsibilities:
- Responsible for developing AI systems to generate high-quality 3D models from textual descriptions or image inputs, suitable for game production and other applications.
- Optimize AIGC large models (3D generation) to improve generation quality, speed, diversity, and controllability, and promote industrial deployment and product implementation of 3D generation models.
- Collaborate across teams to seamlessly integrate 3D models into game environments, enhance player experience, and promote the application of AI technology in specific business scenarios.
Requirements:
- Ph.D. in computer vision or computer graphics, with 3 or more years of relevant work experience.
- Outstanding achievements in areas such as 3D mesh model generation, mesh texturing and PBR material generation, automatic skeleton binding, and mesh automatic skinning.
- Experience in using and training AI models such as Diffusion, ViT, DiT, GAN, ControlNet, LoRA, IP-Adapter, Inpainting, super-resolution, etc.
- Experience in constructing 3D datasets (characters, objects, scenes) and various 3D data processing (Mesh, Voxel, NeRF, Triplane, SDF, GaussianSplatting, FlexiCubes, etc.).
- Publications in top computer vision and graphics conferences and journals (such as CVPR, ICCV, ECCV, SIGGRAPH/Asia, NIPS, ICML, PAMI, IJCV, TOG, TVCG, etc.).
- Strong ability to learn, self-drive, clear logical thinking, excellent communication skills, and teamwork abilities.
- Practical experience with 3D modeling software (e.g., Maya, Blender, 3DS Max) or game engines (e.g., Unity, Unreal Engine) is preferred.
- Proficiency in at least one programming language (such as Python, C/C++), mastery of deep learning frameworks, strong coding skills, with preference for ACM regional contest gold medalists or contributors to influential open-source projects.
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