Lingxiao108105

Act_as_you_wish

[NeurIPS 2023] Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs

ActionCLIP

This is the official implement of paper "ActionCLIP: A New Paradigm for Action Recognition"

AK_Vulcan_Ranks

AK火神的白弹夹排名

AttT2M

Code of ICCV 2023 paper: "AttT2M: Text-Driven Human Motion Generation with Multi-Perspective Attention Mechanism"

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

comp30022-it-project-backend

This is the backend repository of ConnecTi which is a personal CRM application. To achieve separation of frontend and backend, ConnecTi uses two repositories to maintain the application.

comp30022-it-project-frontend

This is the frontend repository of ConnecTi which is a personal CRM application. To achieve separation of frontend and backend, ConnecTi uses two repositories to maintain the application.

comp30023-2021-project-1

COMP90020-Raft-API

COMP90020-Raft-Web

Lingxiao108105/HumanML3D

HumanML3D: A large and diverse 3d human motion-language dataset.

Lingxiao108105/EMDM

Lingxiao108105/motion-latent-diffusion

(CVPR 2023) Executing your Commands via Motion Diffusion in Latent Space, a fast and high-quality motion diffusion model

Lingxiao108105/comp30022-it-project-frontend

This is the frontend repository of ConnecTi which is a personal CRM application. To achieve separation of frontend and backend, ConnecTi uses two repositories to maintain the application.

Lingxiao108105/COMP90020-Raft-Web

Lingxiao108105/OOTDiffusion

Official implementation of OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on

Lingxiao108105/ReMoDiffuse

ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model

Lingxiao108105/AttT2M

Code of ICCV 2023 paper: "AttT2M: Text-Driven Human Motion Generation with Multi-Perspective Attention Mechanism"

Lingxiao108105/FineMoGen

[NeurIPS 2023] FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing

Lingxiao108105/T2M-GPT

(CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”

Lingxiao108105/TEMOS

Official PyTorch implementation of the paper "TEMOS: Generating diverse human motions from textual descriptions", ECCV 2022 (Oral)

Lingxiao108105/Act_as_you_wish

[NeurIPS 2023] Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs

Lingxiao108105/DWPose

"Effective Whole-body Pose Estimation with Two-stages Distillation" (ICCV 2023, CV4Metaverse Workshop)

Lingxiao108105/openai-quickstart-python

Python example app from the OpenAI API quickstart tutorial

Lingxiao108105/VITS-fast-fine-tuning

This repo is a pipeline of VITS finetuning for fast speaker adaptation TTS, and many-to-many voice conversion

Lingxiao108105/unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Lingxiao108105/open_clip

An open source implementation of CLIP.

Lingxiao108105/CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Lingxiao108105/denoising-diffusion-gan

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804

Lingxiao108105/mmskeleton

A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.

Lingxiao108105/TransGAN

[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang

Lingxiao108105/human_body_prior

VPoser: Variational Human Pose Prior

Lingxiao108105/COMP90025-Project2

COMP90025-Project2

Lingxiao108105/MotionCLIP

Official Pytorch implementation of the paper "MotionCLIP: Exposing Human Motion Generation to CLIP Space"

Lingxiao108105/COMP90025-Project1

Lingxiao108105/comp30023-2021-project-2

Lingxiao108105/comp30023-2021-project-1

Lingxiao108105/DS-project2

Lingxiao108105/COMP90020-Raft-API

Lingxiao108105/sofa-jraft

A production-grade java implementation of RAFT consensus algorithm.