[NeurIPS 2024 聚焦]“光高斯:无界3D高斯压缩,15倍缩减和200+ FPS”,范志文、王凯文、温凯伦、朱泽豪、徐德佳、王章阳
neurips-2024 开源项目推荐(75 个)
neurips-2024 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 75 个仓库一个用于快速采样扩散模型的开源工具箱。我们成果的官方实现发表在ICML、NeurIPS、CVPR、统计机械杂志等。
[NeurIPS 2024] SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation
🎞️ [NeurIPS'24] MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views
[NeurIPS 2024] The official implementation of HairFastGAN. A framework for virtual hairstyle fitting.
Official code of "Fully Explicit Dynamic Gaussian Splatting (NeurIPS 2024)"
[NeurIPS'24] Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
[NeurIPS 2024] Official code for HourVideo: 1-Hour Video Language Understanding
[NeurIPS 2024] Official implementation of "BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models".
[NeurIPS2024] Multiview Scene Graph (topologically representing a scene from unposed images by interconnected place and object nodes)
[ NeurIPS 2024 ] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.
All graph/GNN papers accepted at NeurIPS 2024.
Code and data for "ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM" (NeurIPS 2024 Track Datasets and Benchmarks)
Layout Conditioned Image Generation, NeurIPS2024
[NeurIPS 2024] DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning
[NeurIPS 2024] A Novel Rank-Based Metric for Evaluating Large Language Models
A collection of papers related to Geo-spatial Information Science in NeurIPS 2024.
A data construction and evaluation framework to quantify privacy norm awareness of language models (LMs) and emerging privacy risk of LM agents. (NeurIPS 2024 D&B)
[NeurIPS'25] MLLM-CompBench evaluates the comparative reasoning of MLLMs with 40K image pairs and questions across 8 dimensions of relative comparison: visual attribute, existence, state, emotion, temporality, spatiality, quantity, and quality. CompBench covers diverse visual domains, including animals, fashion, sports, and scenes
[NeurIPS 2024] 论文《MambaLRP:解释选择性状态空间序列模型》的官方实现
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/neurips-2024。
- 该话题在 GitHub 上共有 75 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 3583 Star,覆盖 2 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。