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Chenxin Li's Projects

kcd icon kcd

Pytorch implementation of our paper accepted by ECCV2022 -- Knowledge Condensation Distillation https://arxiv.org/abs/2207.05409

lavis icon lavis

LAVIS - A One-stop Library for Language-Vision Intelligence

llama icon llama

Inference code for LLaMA models

llama-dl icon llama-dl

High-speed download of LLaMA, Facebook's 65B parameter GPT model

lord icon lord

This repository contains the code for the ECCV'2022 paper "LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling".

minigpt-4 icon minigpt-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

mtt-distillation icon mtt-distillation

Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"

multi-modality-arena icon multi-modality-arena

Chatbot Arena meets multi-modality! Multi-Modality Arena allows you to benchmark vision-language models side-by-side while providing images as inputs. Supports MiniGPT-4, LLaMA-Adapter V2, LLaVA, BLIP-2, and many more!

nerf_pl icon nerf_pl

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

pytorchvideo icon pytorchvideo

A deep learning library for video understanding research.

readme icon readme

README文件语法解读,即Github Flavored Markdown语法介绍

sinnerf icon sinnerf

[ECCV 2022] "SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image", Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang

siren icon siren

Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

steganerf icon steganerf

Official Pytorch implementation of "StegaNeRF: Embedding Invisible Information within Neueral Radiance Fields"

supervit icon supervit

Official Pytorch implementation of Super Vision Transformer

svox2 icon svox2

Plenoxels: Radiance Fields without Neural Networks, Code release WIP

task-aug icon task-aug

Tensorflow implementation of our paper accepted by CBM2021 -- Domain Generalization on Medical Imaging Classification Using Episodic Training with Task Augmentation

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