Chenguo Lin
@lin_chenguo
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CS/AI Ph.D. student at Peking University.
Beijing, China
Joined March 2020
🚨 We just released 🎞️MoVieS — a feed-forward model that reconstructs 4D scenes in ⚡️1 second. My favorite part: It learns dense (pixel-wise) sharp 3D world movements from novel view rendering + sparse point tracking supervision 🤯🎯. Check it out 👉
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RT @emmanuel_2m: "Generate in Parts" just got better with "Split in Parts"! 🥹😇. @hervenivon added a toggle in the @Scenario_gg 3D viewer th….
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RT @kwangmoo_yi: Preprint of (not) today: Lin and Lin et al., "MoVieS: Motion-Aware 4D Dynamic View Synthesis in One Second" -- https://t.c….
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RT @emmanuel_2m: Beyond thrilled to officially roll out "Generate in Parts" on - a new standard for Image-to-3D wor….
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RT @emmanuel_2m: "Generate in Parts" is so insanely good, it even generated the bullets inside the cylinder - automatically, from a single….
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RT @camenduru: 🧩 PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers 📐 Jupyter Notebook 🥳. Thanks to….
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Just found a great product-ready implementation of our PartCrafter ( 🤩 Can't wait to try it!.
Say goodbye to monolithic AI meshes! 👋. We're rolling out "Generate in Parts" for 3D models on next week. Things will get modular. ⚙. Another wild update! :) 🚀
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RT @Almorgand: "🎞️MoVieS: Motion-Aware 4D Dynamic View Synthesis in One Second". TL;DR: Feed-forward framework that jointly reconstructs ap….
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RT @zhenjun_zhao: MoVieS: Motion-Aware 4D Dynamic View Synthesis in One Second. @lin_chenguo, @kevin_yuchenlin, @paulpanwang, @markyu98, Ho….
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We just found a wonderful Huggingface🤗 space demo for 🧩PartCrafter made by @alexandernasa. Thank you very much🤩 !!!. If you'd like to generate 3D objects in parts, try it out! It's super simple & fast & free:
huggingface.co
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Joint work with @kevin_yuchenlin, @paulpanwang, @markyu98, Honglei Yan, @KaterinaFragiad Yadong Mu 🙌.
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💥 We just open-sourced the inference & training code of PartCrafter 🧩 — along with pretrained checkpoints! 🚀. Check it out here 👉 ❗️❗️. #OpenSource #3D #Diffusion #AI #PartCrafter.
🚨 New drop: PartCrafter 🧩. A 3D-native DiT that generates 3D objects in parts 👉 The most exciting part for me: 🌟.We realised most 3D datasets already come with part-structured meshes — but previous works just ignored that. 🤯. Simple & Effective 🚀
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RT @minchoi: ByteDance and Carnegie Mellon researchers just announced PartCrafter. This AI turns a single photo into fully editable 3D part….
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RT @_akhaliq: PartCrafter. Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers
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🚨 New drop: PartCrafter 🧩. A 3D-native DiT that generates 3D objects in parts 👉 The most exciting part for me: 🌟.We realised most 3D datasets already come with part-structured meshes — but previous works just ignored that. 🤯. Simple & Effective 🚀
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Still waiting for @DeemosTech Gen-2 to generate 3D objects in parts? 🫠.We just dropped an open-source solution that actually understands 3D structure 🧠💥.✅ No extra segmentation.✅ Pure 3D-native DiT.🎯 Generates part-aware 3D objects out of the box.Check it now 👇.
🚀 Introducing PartCrafter – a breakthrough in 3D generation!.From just one RGB image, it generates multiple structured, semantically meaningful 3D parts — all in one unified pass, no pre-segmentation needed. Paper: Project Page:
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RT @jon_barron: Here's my 3DV talk, in chapters:. 1) Intro / NeRF boilerplate. 2) Recent reconstruction work. 3) Recent generative work. 4)….
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Just arrived in Singapore for #ICLR2025! 🌴🇸🇬. Excited to present "DiffSplat" ( on Friday and connect with everyone at the conference. Let’s talk 3D vision, spatial intelligence, AIGC, and everything in between -- see you there! 👋✨
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