Yihang Luo
@TheYihangLuo
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Computer Science @ Nanyang Technological University
Joined August 2022
Introducing 𝗦𝗧𝗿𝗲𝗮𝗺𝟯𝗥, a new 3D geometric foundation model for efficient 3D reconstruction from streaming input. Similar to LLMs, STream3R uses casual attention during training and KVCache at inference. No need to worry about post-alignment or reconstructing from scratch.
🔥Streaming-based 3D/4D Foundation Model🔥 We present STream3R, which reformulates dense 3D/4D reconstruction into a sequential registration task with **causal attention**. - Projects: https://t.co/zrLlvxJ0FJ - Code: https://t.co/ONYaJDrjhF - Model:
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STream3R reformulates dense 3D reconstruction into a sequential registration task with causal attention. Just tried 3D reconstruction on a #GrokImagine video using #STream3R🫡! Check out STream3R on our GitHub for more👨💻: https://t.co/sj4fRe3vts
Grok Imagine prompt: A lone swordsman in a tattered cloak battles a massive sand serpent in a desert coliseum at midday, his blade flashing as dust clouds swirl around him. The arena is surrounded by crumbling stone pillars and a blazing sun overhead. Harsh sunlight cast...
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STream3R Scalable Sequential 3D Reconstruction with Causal Transformer
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🔍 Explore our Code and HuggingFace Demo here: 💻Code: https://t.co/H3RxMWpY8Z 🌄Demo:
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💥 Consistent Multi-View Diffusion for 3D Enhancement 💥 Introducing our work #3DEnhancer @CVPR: a multi-view diffusion model that enhances multi-view images to improve 3D models. 📰arXiv: https://t.co/eNvgSTsKWN 🔥Project: https://t.co/VDPG5NvRSt
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🔬 Our study introduces "Upscale-A-Video," a text-guided latent diffusion framework for video upscaling. It ensures temporal coherence locally & globally, balancing fidelity and quality. 🚀 Project page: https://t.co/3UkaXXyMCC 💻 GitHub: https://t.co/irQRuPHxED 🎥 Video:
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Our #ProPainter👨🎨 @huggingface demo is finally live! Remove any object with just a click. Dive in and give it a try! 🛹 Access the demo here: https://t.co/AadzmGrxQw
#ICCV2023 Introducing 𝐏𝐫𝐨𝐏𝐚𝐢𝐧𝐭𝐞𝐫 🔥 again – our new solution for video inpainting🎨. Use it for object removal and seamless video completion. Feel free to try it out! Project: https://t.co/vTfOv2Wfxz Github: https://t.co/3tonQKjk1Z Paper: https://t.co/us3HwhMlKt
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P/s: Thank you for EPCC cup, our one is on the way to Singapore.
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During the competition, we tackled several challenging High Performance Computing applications on the Bridges-2 supercomputers at the Pittsburgh Supercomputing Center and the Fritz and Alex clusters at Friedrich Alexander Universität in Erlangen, Germany.
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An exciting week in Hamburg, Germany! Proud to announce that our NTU team emerged victorious, winning the 1st place at the 2023 ISC International Student Virtual Cluster Competition. #ISC23 #ISC23_SCC #NTU
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