This is your work, valued

Yiwen Tang

Advanced
@Ivan-Tang-3D

ShanghaiTech; Shanghai AI Lab; Alibaba group; Tencent Hunyuan

Any2Point. [ECCV2024] Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding

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3DGen-R1. [CVPR 2026] The official implementation of The paper "Are We Ready for RL in Text-to-3D Generation? A Progressive Investigation"

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ViewRefer3D. (ICCV2023) Official implementation of 'ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding with GPT and Prototype Guidance'

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Point-PEFT. (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models

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ENEL. [ICLR 2026]The official implementation of The paper "Exploring the Potential of Encoder-free Architectures in 3D LMMs"

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KANFormer. Optimized -KAN-based Transformer Models Performance Test on Various Tasks (Point cloud&Vision)

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MonoDETR. The official implementation of The paper "MonoDETR++: Depth-guided Transformer for Monocular 3D Object Detection"

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DSST_python. Python

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DSST. Matlab version of DSST

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cs229-2018-autumn. All notes and materials for the CS229: Machine Learning course by Stanford University

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CS110-Computer-Architecture-ShanghaiTech. Computer Architecture(CS110) at ShanghaiTech University in Spring 2019, adopted from CS61C UC Berkeley.

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