Yhc-777

Awesome-Depth-Estimation

Awesome List for Depth Estimation

Awesome-Fine-grained-Visual-Classification

Awesome Fine-grained Visual Classification

awesome-yolo-object-detection

🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.

CAL

[ICCV 2021] Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification

CLIP4Clip

An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

coco-caption

A python3 version of coco-caption with spice.

DiffSketcher

[NIPS 2023] Official implementation for "DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models" https://arxiv.org/abs/2306.14685

finetune-anything

Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios

GeoWizard

[arXiv'24] GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image

HMN

[CVPR2022] Official code for Hierarchical Modular Network for Video Captioning. Our proposed HMN is implemented with PyTorch.

Yhc-777/Awesome-Depth-Estimation

Awesome List for Depth Estimation

Yhc-777/Awesome-Fine-grained-Visual-Classification

Awesome Fine-grained Visual Classification

Yhc-777/awesome-yolo-object-detection

🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.

Yhc-777/CAL

[ICCV 2021] Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification

Yhc-777/CLIP4Clip

An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

Yhc-777/coco-caption

A python3 version of coco-caption with spice.

Yhc-777/DiffSketcher

[NIPS 2023] Official implementation for "DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models" https://arxiv.org/abs/2306.14685

Yhc-777/finetune-anything

Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios

Yhc-777/GeoWizard

[arXiv'24] GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image

Yhc-777/HMN

[CVPR2022] Official code for Hierarchical Modular Network for Video Captioning. Our proposed HMN is implemented with PyTorch.

Yhc-777/LeYOLO

Yhc-777/Lumina-T2X

Lumina-T2X is a unified framework for Text to Any Modality Generation

Yhc-777/MiniCPM-V

MiniCPM-Llama3-V 2.5: A GPT-4V Level Multimodal LLM on Your Phone

Yhc-777/object_feature_extraction

Using yolov516.pth and fasterrcnn_resnet50_fpn_coco-258fb6c6.pth to extract object features.

Yhc-777/PromptIR

PromptIR: Prompting for All-in-One Blind Image Restoration [NeurIPS 2023]

Yhc-777/Semantic-Segment-Anything

Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

Yhc-777/V3D

V3D: Video Diffusion Models are Effective 3D Generators

Yhc-777/video_features

Extract video features from raw videos using multiple GPUs. We support RAFT and PWC flow frames as well as I3D, R(2+1)D, VGGish, ResNet, CLIP features.

Yhc-777/Wonder3D

Single Image to 3D using Cross-Domain Diffusion for 3D Generation

Yhc-777/X-AnyLabeling

Effortless data labeling with AI support from Segment Anything and other awesome models.

Yhc-777/yolov10

YOLOv10: Real-Time End-to-End Object Detection

Yhc-777/yolov9

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

Yhc-777/yolov9-onnx

Python Implementation for Performing Object Detection Using YOLOv9 with ONNX & ONNXRuntime