JaeHyeok-2's Stars
Min-Hyuk98/sora
yzhang2016/video-generation-survey
A reading list of video generation
ndrwmlnk/Awesome-Video-Diffusion-Models
JaeHyeok-2/Watermarking
yihua7/SC-GS
[CVPR 2024] Code for SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes
CVMI-Lab/SC-GS
[CVPR 2024] Code for SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes
lucidrains/vector-quantize-pytorch
Vector (and Scalar) Quantization, in Pytorch
and-mill/Awesome-GenAI-Watermarking
A curated list of watermarking schemes for generative AI models
showlab/Awesome-Video-Diffusion
A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Stability-AI/generative-models
Generative Models by Stability AI
ChenHsing/Awesome-Video-Diffusion-Models
[CSUR] A Survey on Video Diffusion Models
KohakuBlueleaf/LyCORIS
Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.
Xiuyu-Li/q-diffusion
[ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.
tencent-ailab/IP-Adapter
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
HVision-NKU/StoryDiffusion
Create Magic Story!
pvigier/perlin-numpy
A fast and simple perlin noise generator using numpy
Julian-Wyatt/AnoDDPM
CVPR Workshop paper - AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise
FuNz-0/PromptAD
Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection
vicliv/DTE
Official implementation of Diffusion Time Estimation
bitzhangcy/Deep-Learning-Based-Anomaly-Detection
denguir/student-teacher-anomaly-detection
Student–Teacher Anomaly Detection with Discriminative Latent Embeddings
meta-llama/llama3
The official Meta Llama 3 GitHub site
hi-bingo/BeatGAN
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series
hwk0702/keras2torch
seominseok0429/Real-world-Anomaly-Detection-in-Surveillance-Videos-pytorch
Real-world Anomaly Detection in Surveillance Videos- pytorch Re-implementation
hoya012/awesome-anomaly-detection
A curated list of awesome anomaly detection resources
mahmoodlab/CLAM
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
wilile26811249/ViTGAN
A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.