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qinbo li qinbo li i will be joining luma ai as a research scientist working on image video foundation models multimodal models and physical ai previously i worked at snap where i led the rlhf direction for video generation before snap i was a research scientist at meta working on 3d vision and diffusion models i received my phd from texas a m university where i was advised by dr yoonsuck choe email nbsp nbsp cv nbsp nbsp google scholar nbsp nbsp linkedin experience luma ai research scientist jul 2026 snap machine learning engineer genai jun 2025 may 2026 meta research scientist feb 2022 apr 2025 research your browser does not support the video tag textured gaussians for enhanced 3d scene appearance modeling brian chao hung yu tseng lorenzo porzi chen gao tuotuo li qinbo li ayush saraf jia bin huang johannes kopf gordon wetzstein changil kim cvpr 2025 project page arxiv your browser does not support the video tag taming latent diffusion model for neural radiance field inpainting chieh hubert lin changil kim jia bin huang qinbo li chih yao ma johannes kopf ming hsuan yang hung yu tseng eccv 2024 project page arxiv your browser does not support the video tag ltm lightweight textured mesh reconstruction for real time rendering in unbounded scene jaehoon choi rajvi shah qinbo li yipeng wang ayush saraf changil kim jia bin huang dinesh manocha suhib alsisan and johannes kopf cvpr 2024 project page pdf we present a practical method for reconstructing and optimizing textured meshes of large unbounded real world scenes that offer high visual and geometric fidelity your browser does not support the video tag consistent view synthesis with pose guided diffusion models hung yu tseng qinbo li changil kim suhib alsisan jia bin huang johannes kopf cvpr 2023 project page arxiv we propose a pose guided diffusion model to generate a consistent long term video of novel views from a single image your browser does not support the video tag synthesizing light field from a single image with variable mpi and two network fusion qinbo li and nima kalantari siggraph asia 2020 project page pdf video code synthesize light fields from a single image on general scene introduced a light field dataset that includes indoor and outdoor scene your browser does not support the video tag video face recognition with audio visual aggregation network qinbo li qing wan sang heon lee yoonsuck choe international conference on neural information processing 2021 pdf we introduce an audio visual aggregation network avan to aggregate multiple facial and voice information to improve face recognition performance others construction and use of tools through hierarchical deep reinforcement learning qinbo li and yoonsuck choe iros workshop 2021 tool construction and use challenge tooling test rebooted yoonsuck choe jaewook yoo and qinbo li aaai workshop 2015 template from jon barron last updated jun 2026