ljqnb

Pinned Repositories

4D-Humans
4DHumans: Reconstructing and Tracking Humans with Transformers
Language:Python10
clash-for-linux
Linux 端使用 Clash 作为代理工具
Language:Shell10
ATISS
Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021
Language:Python00
ccss_clip
00
CLIP4Clip_ccss
An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"
Language:Python00
cmss_clip
Language:Python00
CrosSCLR
The Official PyTorch implementation of "3D Human Action Representation Learning via Cross-View Consistency Pursuit" in CVPR 2021
Language:Python00
gitskill
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Grounded-Segment-Anything
Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs
Language:Jupyter Notebook00
HybrIK
Official code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021
Language:Python00

ljqnb's Repositories

ljqnb/test
Language:Python
ljqnb/4D-Humans
4DHumans: Reconstructing and Tracking Humans with Transformers
1
ljqnb/OSX
[CVPR 2023] Official implementation of the paper "One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer"
ljqnb/Grounded-Segment-Anything
Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs
ljqnb/pytorchvideo
A deep learning library for video understanding research.
ljqnb/clash-for-linux
Linux 端使用 Clash 作为代理工具
1
ljqnb/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
ljqnb/MY_selfPYSL
This is an official PyTorch implementation of "Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences" in AAAI2023.
Language:Python
ljqnb/MODNet
A Trimap-Free Portrait Matting Solution in Real Time [AAAI 2022]
Language:Python
ljqnb/VIBE
Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
ljqnb/cmss_clip
Language:Python
ljqnb/ccss_clip
ljqnb/learngit
ljqnb/gitskill
ljqnb/CLIP4Clip_ccss
An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"
ljqnb/HybrIK
Official code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021
ljqnb/ATISS
Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021
ljqnb/nflows
Normalizing flows in PyTorch
ljqnb/ljqnb
Config files for my GitHub profile.
ljqnb/CrosSCLR
The Official PyTorch implementation of "3D Human Action Representation Learning via Cross-View Consistency Pursuit" in CVPR 2021
ljqnb/travis_debs
Custom .deb files for faster travis testing