Pinned Repositories
d2nerf
GroundingDINO
The official implementation of "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
K-Planes
Pytorch-Correlation-extension
Custom implementation of Corrleation Module
RAFT-NCUP
The official PyTorch implementation for "Normalized Convolution Upsampling for Refined Optical Flow Estimation"
Segment-and-Track-Anything
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
tiny-cuda-nn
Lightning fast C++/CUDA neural network framework
HOSNeRF
HOSNeRF: Dynamic Human-Object-Scene Neural Radiance Fields from a Single Video
LzqInsta's Repositories
LzqInsta/d2nerf
LzqInsta/GroundingDINO
The official implementation of "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
LzqInsta/K-Planes
LzqInsta/Pytorch-Correlation-extension
Custom implementation of Corrleation Module
LzqInsta/RAFT-NCUP
The official PyTorch implementation for "Normalized Convolution Upsampling for Refined Optical Flow Estimation"
LzqInsta/Segment-and-Track-Anything
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
LzqInsta/tiny-cuda-nn
Lightning fast C++/CUDA neural network framework