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Official code for the paper "LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes".
The code of "Att2CPC: Attention-Guided Lossy Attribute Compression of Point Clouds"
Official Implementation of "Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function" [NeurIPS 2024]
邦邦控分助手，可以帮助你得到想要的pt数；A program that can help you to get exact event pt.
Official implement of "Point Long-Term Locality-Aware Transformer for Point Cloud Video Understanding"
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
T3Bench: Benchmarking Current Progress in Text-to-3D Generation
💭 Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
[ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation
Official implementation of "LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching"
[NeurIPS 2024] PointMamba: A Simple State Space Model for Point Cloud Analysis
[ICML 2024] GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting
[Under Review] Efficient and Generic Point Model for Lossless Point Cloud Attribute Compression
Obsidian plugin designed to assist you in taking notes for your literature. 这是一个 Obsidian 插件帮助你记录文献笔记。