albert100121

albert100121's Stars

• AUTOMATIC1111/stable-diffusion-webui

  Stable Diffusion web UI

  Language:Python146k1.1k7.7k27.3k

• ytdl-org/youtube-dl

  Command-line program to download videos from YouTube.com and other video sites

  Language:Python134k2.2k26.7k10.2k

• meta-llama/llama

  Inference code for Llama models

  Language:Python57.2k5271.1k9.7k

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook48.5k3136825.7k

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.7k7571.3k8k

• lllyasviel/ControlNet

  Let us control diffusion models!

  Language:Python31.2k2195592.8k

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python16.5k4483.4k7k

• NVlabs/instant-ngp

  Instant neural graphics primitives: lightning fast NeRF and more

  Language:Cuda16.2k2031k1.9k

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook12.2k983481.6k

• Lightning-AI/litgpt

  20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

  Language:Python11.1k1008211.1k

• bmaltais/kohya_ss

  Language:Python9.9k952.1k1.3k

• facebookresearch/xformers

  Hackable and optimized Transformers building blocks, supporting a composable construction.

  Language:Python8.9k78584636

• LiheYoung/Depth-Anything

  [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

  Language:Python7.2k50219550

• cmhungsteve/Awesome-Transformer-Attention

  An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

  4.7k13030490

• DepthAnything/Depth-Anything-V2

  [NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

  Language:Python4.3k36216374

• rasbt/machine-learning-book

  Code Repository for Machine Learning with PyTorch and Scikit-Learn

  Language:Jupyter Notebook3.8k57981.4k

• princeton-vl/RAFT

  Language:Python3.4k38170641

• MooreThreads/Moore-AnimateAnyone

  Character Animation (AnimateAnyone, Face Reenactment)

  Language:Python3.3k36156256

• prs-eth/Marigold

  [CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

  Language:Python2.5k42110145

• fudan-zvg/Semantic-Segment-Anything

  Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

  Language:Python2.2k1958139

• lukasHoel/text2room

  Text2Room generates textured 3D meshes from a given text prompt using 2D text-to-image models (ICCV2023).

  Language:Python1k103374

• johannakarras/DreamPose

  Official implementation of "DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion"

  Language:Python986256975

• fuxiao0719/GeoWizard

  [ECCV'24] GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image

  Language:Python807244234

• tomrunia/OpticalFlow_Visualization

  Python optical flow visualization following Baker et al. (ICCV 2007) as used by the MPI-Sintel challenge

  Language:Python42810657

• lzqsd/InverseRenderingOfIndoorScene

  Language:Python304131835

• NVlabs/I2SB

  Language:Python26551926

• cfernandezlab/CFL

  Tensorflow implementation of our end-to-end model to recover 3D layouts. Also with equirectangular convolutions!

  Language:Jupyter Notebook10661518

• howardyclo/CLCC-CVPR21

  An official TensorFlow implementation of “CLCC: Contrastive Learning for Color Constancy” accepted at CVPR 2021.

  Language:Python662510

• sunset1995/PanoPlane360

  Indoor Panorama Planar 3D Reconstruction via Divide and Conquer

  Language:Python525710

• mvlchallenge/mvl_toolkit

  Official toolkit for Multi-View Layout Estimation Challenge in OmniCV workshop at CVPR'23.

  Language:Python16123