[WACV 2025] Enhancing Visual Classification using Comparative Descriptors

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

Official implementation of "Describing Differences in Image Sets with Natural Language" (CVPR 2024 Oral)

min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch

PyTorch implementation of a 1.3B text-to-image generation model trained on 14 million image-text pairs

Contrastive Boundary Learning for Point Cloud Segmentation (CVPR2022)

[CVPR 2021] CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation

A curated list of awesome papers on dataset distillation and related applications.

This is an unofficial implementation of the Point Transformer paper.

Papers and Datasets about Point Cloud.

Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"