Multi-Modal Technology in Intelligent Creation: Insights from REDtech Live
At REDtech Live, leading researchers showcased advances in multi‑modal technology for intelligent creation, covering efficient video‑text retrieval, semantic voice synthesis, low‑cost neural 3D reconstruction, deep‑learning‑driven visual content generation, and pixel‑level video segmentation with 2D‑3D fusion techniques.
Event Overview : The REDtech live event focuses on multi-modal technology advancements, featuring expert discussions on multi-modal understanding, intelligent creation, and 3D digitalization techniques. Key topics include multi-modal retrieval efficiency, semantic expression in voice synthesis, and neural-based 3D modeling.
Speaker Highlights : Zhu Linchuan : Presented methods for video text retrieval, positioning techniques, and semantic gesture generation. Cited papers include SEEG (CVPR 2022) and CenterCLIP (SIGIR 2022). Xu Xiaowei : Discussed low-cost 3D digitalization using neural representations, with works like NeuralBody and LoFTR. Emphasized real-time single-camera scene reconstruction. He Ran : Explored visual content generation via deep learning models, covering text-to-image generation and perceptual optimal transmission models. Zhang Debing : Addressed challenges in intelligent creation, including pixel-level video segmentation and 2D-3D fusion techniques for special effects.
Xiaohongshu Tech REDtech
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