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DUSt3R + Gaussian Splatting
[CVPR 2023] Vote2Cap-DETR and [T-PAMI 2024] Vote2Cap-DETR++; A set-to-set perspective towards 3D Dense Captioning; State-of-the-Art 3D Dense Captioning methods
[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models
Learnable Skeleton-Aware 3D Point Cloud Sampling
Differentiable Point Cloud Sampling (CVPR 2020 Oral)
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
[CVPR 2024] "LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning"; an interactive Large Language 3D Assistant.
A 3D Gaussian Splatting framework with various derived algorithms and an interactive web viewer
A unified framework for 3D content generation.
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation (CVPR 2023)
Web interface for browsing, search and filtering recent arxiv submissions
[CVPR2024, Highlight] Official code for DragDiffusion
[CVPR 2023] Learning Geometry-aware Representations by Sketching
Official Code for DragGAN (SIGGRAPH 2023)
DragGAN meets GET3D for interactive mesh generation and editing.
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Official codebase for the paper "3D Neural Field Generation using Triplane Diffusion"
The official implementation for "Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data"
This repo contains the projects: 'Virtual Normal', 'DiverseDepth', and '3D Scene Shape'. They aim to solve the monocular depth estimation, 3D scene reconstruction from single image problems.
Latent Point Diffusion Models for 3D Shape Generation
A curated list of awesome neural radiance fields (NeRF) papers.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Real-time facial landmarks detection / 摄像头人脸检测并进行特征点标定