Beast code in Giters

Markus Woodson's starred repositories

PercepTreeV1

Implementation of Grondin et al. 2022 "Tree Detection and Diameter Estimation Based on Deep Learning". Also includes datasets and some of the pretrained models.

Language:PythonApache-2.08200

PoinTr

[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

Language:PythonMIT55800

Pointfilter

Pointfilter: Point Cloud Filtering via Encoder-Decoder Modeling

Language:PythonMIT4500

SVDFormer_PointSea

[ICCV 2023] SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator

Language:PythonMIT4100

MSN-Point-Cloud-Completion

Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)

Language:PythonApache-2.039300

Point_Diffusion_Refinement

A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion

Language:PythonApache-2.013300

pcpnet

Pytorch implementation of PCPNet

Language:PythonNOASSERTION16900

score-denoise

:snowflake: Score-Based Point Cloud Denoising (ICCV 2021)

Language:PythonMIT14900

awesome-3D-generation

A curated list of awesome 3d generation papers

100600

SDFusion

Language:C++MIT38300

diffusion-point-cloud

:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)

Language:PythonMIT61300

3D-PointCloud

Papers and Datasets about Point Cloud.

Language:Python228000

VMFormer

[Preprint] VMFormer: End-to-End Video Matting with Transformer

Language:PythonNOASSERTION10500

FBA_Matting

Official repository for the paper F, B, Alpha Matting

Language:Jupyter NotebookMIT46100

composed_image_retrieval

Language:ShellApache-2.015500

stylematte

Inference code to "Adversarially-Guided Portrait Matting"

Language:Python6000

ImageNet-S

(TPAMI2022) The ImageNet-S benchmark/method for large-scale unsupervised/semi-supervised semantic segmentation.

Language:Python16200

GCA-Matting

Official repository for Natural Image Matting via Guided Contextual Attention

Language:PythonMIT39000

MobileSAM

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

Language:Jupyter NotebookApache-2.0452400

DeCLIP

Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm

Language:Python61800

Semantic-SAM

[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"

Language:Python212800

OTVM

One-Trimap Video Matting (ECCV 2022)

Language:PythonNOASSERTION8000

XMem

[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

Language:PythonMIT166700

Video-LLaMA

[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Language:PythonBSD-3-Clause260700

generative-models

Generative Models by Stability AI

Language:PythonMIT2336900

EVA

EVA Series: Visual Representation Fantasies from BAAI

Language:PythonMIT212000

ImageReward

[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation

Language:PythonApache-2.0104300

PickScore

Language:PythonMIT38500

SIM

Official repository of Semantic Image Matting

Language:Python22000

Deep-Image-Matting-PyTorch

Deep Image Matting implementation in PyTorch

Language:PythonMIT81600