LiQiiiii's Stars
rasbt/LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
FoundationVision/VAR
[NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!
richzhang/PerceptualSimilarity
LPIPS metric. pip install lpips
guanyingc/latex_paper_writing_tips
Tips for Writing a Research Paper using LaTeX
jonbarron/website
hbb1/2d-gaussian-splatting
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
open-compass/VLMEvalKit
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
baaivision/Emu3
Next-Token Prediction is All You Need
FoundationVision/LlamaGen
Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation
Adamdad/kat
[ICLR2025] Kolmogorov-Arnold Transformer
emidan19/deep-tempest
Restoration for TEMPEST images using deep-learning
facebookresearch/stable_signature
Official implementation of the paper "The Stable Signature Rooting Watermarks in Latent Diffusion Models"
lucidrains/autoregressive-diffusion-pytorch
Implementation of Autoregressive Diffusion in Pytorch
Huage001/LinFusion
Official PyTorch and Diffusers Implementation of "LinFusion: 1 GPU, 1 Minute, 16K Image"
amiratag/DataShapley
Data Shapley: Equitable Valuation of Data for Machine Learning
florinshen/FlashSplat
[ECCV2024] [3DV Nectar 2025] FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally
lxa9867/Awesome-Autoregressive-Visual-Generation
This is a repo to track the latest autoregressive visual generation papers.
CrossmodalGroup/DynamicVectorQuantization
Official Pytorch Implementation of Our CVPR2023 Paper: "Towards Accurate Image Coding: Improved Autoregressive Image Generation with Dynamic Vector Quantization"
LZY-the-boys/Twin-Merging
[NeurIPS2024] Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
as791/Adversarial-Example-Attack-and-Defense
This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.
bboylyg/BackdoorLLM
BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks on Large Language Models
ycjing/Awesome-Model-Merging
:couple: A curated list of Model Merging methods.
yu-rp/apiprompting
[ECCV 2024] API: Attention Prompting on Image for Large Vision-Language Models
huanranchen/AdversarialAttacks
florinshen/Vista3D
[ECCV2024] Vista3D: Unravel the 3D Darkside of a Single Image
Adamdad/rational_kat_cu
SuperBruceJia/Poster_Template
Poster Templates (PPT and LaTeX)
rmin2000/WaDiff
A Watermark-Conditioned Diffusion Model for IP Protection (ECCV 2024)
inspire-group/MIAdefenseSELENA
[USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture
orientino/lira-pytorch
Likelihood Ratio Attack (LiRA) in PyTorch