From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation (CVPR 2024 - Highlight)

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Fork of the ops from Erik Wijman's Pointnet++ repo

The official implementation of DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis

⚡ InstaFlow! One-Step Stable Diffusion with Rectified Flow (ICLR 2024)

Official Implementation of Rectified Flow (ICLR2023 Spotlight)

Point Mamba

xLSTM as Generic Vision Backbone

DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention

[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

Kolmogorov Arnold Networks

[NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds

PointMamba: A Simple State Space Model for Point Cloud Analysis

[ACM MM 2024] MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors

The official Meta Llama 3 GitHub site

Scalable Diffusion Models with State Space Backbone

Hiera: A fast, powerful, and simple hierarchical vision transformer.

documentation for content creation

Implementation of https://srush.github.io/annotated-s4

Awesome Incremental Learning

List of papers related to State Space Models (Mamba) in Vision.

[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Official repository for "Gradient Correlation Subspace Learning against Catastrophic Forgetting"

Scene and animal attribute retrieval from camera trap data with domain-adapted vision-language models

PyTorch Extension Library of Optimized Scatter Operations

MiniSora: A community aims to explore the implementation path and future development direction of Sora.

Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Papers and Datasets about Point Cloud.

Effective prompting for Large Multimodal Models like GPT-4 Vision, LLaVA or CogVLM. 🔥