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General Summary:
Before there were smartphones or smart cities, before autonomous cars or 360° virtual reality videos, there was our technology. Headquartered in San Diego, for over 30 years Qualcomm inventions have inspired others to make the impossible, possible. From 5G to artificial intelligence, from IoT to automotive and extended reality applications, Qualcomm is inventing the technologies of an intelligently connected future, spearheading research efforts for the next global wireless standard, and collaborating with industry leaders in the wireless value chain to make this future a commercial reality.
The field of generative modeling is evolving rapidly, with video diffusion emerging as a powerful paradigm for high-quality, temporally consistent video synthesis. This internship offers an exciting opportunity to explore the applicability of video diffusion models [1, 2, 3] to various downstream applications, such as image editing [6, 7] or facial reenactment [4, 5].
Responsibilities:
The research conducted in this internship is aimed at advancing the field of generative modeling using video diffusion, with the expectation of contributing to paper submissions at top-tier conferences in the field.
[1] LTXVideo: Realtime video latent diffusion, https://arxiv.org/abs/2501.00103
[2] HunyuanVideo: A Systematic Framework For Large Video Generative Models, https://arxiv.org/abs/2412.03603
[3] Wan: Open and Advanced Large-Scale Video Generative Models, https://arxiv.org/abs/2503.20314
[4] LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control, https://arxiv.org/abs/2407.03168
[5] Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control, https://arxiv.org/abs/2405.12970
[6] FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space, https://arxiv.org/abs/2506.15742
[7] InstructPix2Pix: Learning to Follow Image Editing Instructions, https://arxiv.org/abs/2211.09800
Programming Languages:
Minimum Qualification:
Educational Requirements:
Work Location: This is a full-time, onsite position. The role requires working from our office five days a week. Hybrid or remote work arrangements are not available.
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If you would like more information about this role, please contact Qualcomm Careers.
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