Tianshu Kuai @TianshuKuai
CS PhD Student @UMontreal and @Mila_Quebec | MSc and BASc @UofT tianshukuai.github.io Montreal Joined July 2022-
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If you are attending SIGGRAPH in LA, don’t miss our talk at 10:55 am on Tuesday July 21 in the 3D Generation session in Room 403B! Also chat with us at the poster session on the same day, from 11:55 am to 12:25 pm, in Room 403B. #SIGGRAPH2026
📢 Introducing our #SIGGRAPH2026 work, Matérn Noise for Triangulation-Agnostic Flow Matching on Meshes. 🌐: matern-fm.github.io 📜: arxiv.org/abs/2605.19305 [1/8]
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See our paper for more details and results. We have also released our code, checkpoints, datasets, and data generation scripts at github.com/kts707/matern-… A huge thank you to my amazing collaborators @ArmanMaesumi, Daniel Ritchie, and @AigermanNoam. [8/8]
Our model can also generate yoga poses for humanoid meshes that were never seen by the model during training. [7/8]
📢 Introducing our #SIGGRAPH2026 work, Matérn Noise for Triangulation-Agnostic Flow Matching on Meshes. 🌐: matern-fm.github.io 📜: arxiv.org/abs/2605.19305 [1/8]
@igilitschenski @ashmrz10 Congrats @ashmrz10 !!!
Please see our project page and paper for more details and results. We have also released our code! This work was done during my internship at Samsung AI Center Toronto in 2024. Huge thanks to my amazing collaborators Sina Honari, @igilitschenski , and Alex Levinshtein! (7/7)
Our method only requires a small set of unpaired low-quality images for fine-tuning. We start to outperform the pre-trained model in perceptual quality by a large margin even with only 100 images, and all metrics continue to improve as the data size increases. (6/7)
📢Missed WACV? Check out our #WACV2025 Oral paper, "Towards Unsupervised Blind Face Restoration using Diffusion Prior." (1/7) arXiv: arxiv.org/abs/2410.04618 Project page: dt-bfr.github.io Code: github.com/SamsungLabs/DT…
Tianshu Kuai retweeted
I'll be recruiting PhD and MSc students through Mila - consider applying if you want to work at the intersection of machine learning and 3D geometry!
Mila's annual supervision request process opens on October 15 to receive MSc and PhD applications for Fall 2025 admission! Join our community! More information here mila.quebec/en/prospective…
Tianshu Kuai retweeted
Mila's annual supervision request process opens on October 15 to receive MSc and PhD applications for Fall 2025 admission! Join our community! More information here mila.quebec/en/prospective…
Tianshu Kuai retweeted
📢🔍 Super excited to present Spatially Aware Multiview Diffusers (SPAD) at #CVPR2024! SPAD enables 3D consistent multi-view image generation from text or image inputs. It is trained using a high-quality Objaverse subset on 32 H100s! Code & Paper links at the end! 🧵👇
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