Shijie Zhou
@ShijieZhoucla
PhD Student @UCLA, 3D Computer Vision | Research Intern @Apple | Previously @Google @Columbia.
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Super impressive! It also gave me a funny deja vu moment: the Colosseum demo looks very close to what we did in DreamScene360 about 1.5 years ago (dreamscene360.github.io). Back then we tried to show how fuzzy text prompts could become an immersive 3D environment, and even let…
AI’s next frontier is Spatial Intelligence, a technology that will turn seeing into reasoning, perception into action, and imagination into creation. But what is it? Why does it matter? How do we build it? And how can we use it? Today, I want to share with you my thoughts on…
The wait is over! 💥 Our Feature4X code (#CVPR2025 ) is now open-source: 🔗 github.com/ShijieZhou-UCL… All-in-one 4D ➡️ reconstruction, understanding, manipulation & reasoning with multimodal LLMs From monocular videos → to 4D Gaussian Feature Fields → towards 4D Agentic AI 🤖✨
![ShijieZhoucla's tweet card. [CVPR 2025] Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields - ShijieZhou-UCLA/Feature4X](https://pbs.twimg.com/card_img/1990642379293097984/5XOJk0Gs?format=jpg&name=orig)
We’re presenting Feature4X at #CVPR25 now — come say hi at ExHall D, Poster #338! 🌀 Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields 📍 Project: feature4x.github.io 👋 Me: shijiezhou-ucla.github.io
🇸🇬 Even though I won't be able to attend #ICLR2025 in person this year, I'm excited to share two works that will be presented!👇 🔥 [Spotlight] 𝟰𝗞𝟰𝗗𝗚𝗲𝗻: 𝗣𝗮𝗻𝗼𝗿𝗮𝗺𝗶𝗰 𝟰𝗗 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝘁 𝟰𝗞 𝗥𝗲𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 📍 Presented at Hall 3 + Hall 2B #631 🗓️…
![_vztu's tweet image. 🇸🇬 Even though I won't be able to attend #ICLR2025 in person this year, I'm excited to share two works that will be presented!👇
🔥 [Spotlight] 𝟰𝗞𝟰𝗗𝗚𝗲𝗻: 𝗣𝗮𝗻𝗼𝗿𝗮𝗺𝗶𝗰 𝟰𝗗 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝘁 𝟰𝗞 𝗥𝗲𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻
📍 Presented at Hall 3 + Hall 2B #631
🗓️…](https://pbs.twimg.com/media/GpFlloSXQAEilY3.jpg)
![_vztu's tweet image. 🇸🇬 Even though I won't be able to attend #ICLR2025 in person this year, I'm excited to share two works that will be presented!👇
🔥 [Spotlight] 𝟰𝗞𝟰𝗗𝗚𝗲𝗻: 𝗣𝗮𝗻𝗼𝗿𝗮𝗺𝗶𝗰 𝟰𝗗 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝘁 𝟰𝗞 𝗥𝗲𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻
📍 Presented at Hall 3 + Hall 2B #631
🗓️…](https://pbs.twimg.com/media/GpFlmJoXYAAjL7u.jpg)
Feature4X Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields
Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields Contributions: • We propose a general 4D feature field distillation technique using Gaussian Splatting to build an interactive 4D scene. This lifts the functionalities of any 2D…
Check out our demo for the Art-Free Diffusion model and the Art Adapters! 🎨✨ huggingface.co/spaces/rhfeiya…
Our project demo is LIVE! 🎨✨ Check out the Art-Free Diffusion model and the Art Adapters build on top of it! huggingface.co/spaces/rhfeiya…
🚀 Our NeurIPS '24 work, Large Spatial Model (LSM), is here! LSM performs semantic 3D reconstruction in just 0.1s, processing unposed data via feed-forward 3D reconstruction. 👉It leverages large-scale 3D datasets with minimal annotations, defining a 3D latent space. We are…
🚨Revolutionizing 4D VR/AR Content Generation! Excited to share our latest paper on 4K4DGen, a breakthrough in creating panoramic 4D immersive environments at 4K resolution. 🎥🌍 💡 The Challenge: Current generative models struggle with producing 360° dynamic scenes at high…
DreamScene360 is now open source! Visit our website for more details! Website: dreamscene360.github.io Code: github.com/ShijieZhou-UCL… Unfortunately, I can't make it to #ECCV2024 in Italy🇮🇹 this year, but I've already flown around the Colosseum in my own generated metaverse 😊.
![ShijieZhoucla's tweet card. [ECCV 2024] DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting - ShijieZhou-UCLA/DreamScene360](https://pbs.twimg.com/card_img/1991636672006574080/8ZfTglcw?format=jpg&name=orig)
DreamScene360 Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting The increasing demand for virtual reality applications has highlighted the significance of crafting immersive 3D assets. We present a text-to-3D 360^{circ} scene generation pipeline
#ECCV2024 is happening soon in Milan! Unfortunately, many collaborators are unable to attend due to visa issues, but we’re making sure everything is ready ahead of time! (1/3) We’re excited to announce the release of our DreamScene360 code: dreamscene360.github.io. With it, you…
Tomorrow 6/21 we will be presenting our Highlight Poster at #CVPR2024 📌Arch 4A-E Poster #205, 10:30AM - noon. Come and say hello if you are interested! 😊
(1/5) 3D Gaussian Splatting + AI Foundation Models = ? 🤔 Feature 3DGS🪄, distills feature fields from 2D foundation models, opening the door to a brand new semantic, editable, and promptable explicit 3D scene representation. AI for 2D, now in 3D! 🚀 🔗feature-3dgs.github.io
It is an immense honor, and I am profoundly grateful to have my work commented on by Prof. Vincent Sitzmann @vincesitzmann 😊 News link: ee.ucla.edu/cvpr-paper-hig…
Congrats to PhD student, Shijie Zhou, for receiving the Highlight Paper award for the paper titled “Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields” at the @IEEEorg Computer Vision and Pattern Recognition @CVPR! ee.ucla.edu/cvpr-paper-hig…
DreamScene360 Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting arxiv.org/abs/2404.06903 Project: dreamscene360.github.io YouTube: youtube.com/watch?v=6rMIQf… 1 I 2 Method ⬇️
DreamScene360 Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting The increasing demand for virtual reality applications has highlighted the significance of crafting immersive 3D assets. We present a text-to-3D 360^{circ} scene generation pipeline
Feature 3DGS was selected as a ✨Highlight✨ paper (2.8% of all submissions) at #CVPR2024 🥳 Check out our latest magic 🤩 Project Page: feature-3dgs.github.io Paper: arxiv.org/pdf/2312.03203… Code: github.com/ShijieZhou-UCL… Let's pack our raincoat for Seattle! 🚀
![ShijieZhoucla's tweet card. [CVPR 2024 Highlight] Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields - ShijieZhou-UCLA/feature-3dgs](https://pbs.twimg.com/card_img/1992484561234821120/Ge533SlP?format=jpg&name=orig)
(1/5) 3D Gaussian Splatting + AI Foundation Models = ? 🤔 Feature 3DGS🪄, distills feature fields from 2D foundation models, opening the door to a brand new semantic, editable, and promptable explicit 3D scene representation. AI for 2D, now in 3D! 🚀 🔗feature-3dgs.github.io
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