HeliosZhao

HeliosZhao's Stars

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python167k1.6k2.7k44.2k

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook67.7k55871110.1k

• 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 Notebook46.9k3056625.6k

• lllyasviel/ControlNet

  Let us control diffusion models!

  Language:Python29.9k2175452.7k

• IDEA-Research/Grounded-Segment-Anything

  Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  Language:Jupyter Notebook14.9k1133851.4k

• openai/consistency_models

  Official repo for consistency models.

  Language:Python6.1k5951411

• lllyasviel/ControlNet-v1-1-nightly

  Nightly release of ControlNet 1.1

  Language:Python4.7k61125371

• UX-Decoder/Segment-Everything-Everywhere-All-At-Once

  [NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

  Language:Python4.3k59147388

• showlab/Tune-A-Video

  [ICCV 2023] Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

  Language:Python4.2k5097384

• Picsart-AI-Research/Text2Video-Zero

  [ICCV 2023 Oral] Text-to-Image Diffusion Models are Zero-Shot Video Generators

  Language:Python4k6773344

• TencentARC/T2I-Adapter

  T2I-Adapter

  Language:Python3.4k40112201

• showlab/Awesome-Video-Diffusion

  A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.

  3.2k13318193

• lucidrains/make-a-video-pytorch

  Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch

  Language:Python1.9k7116178

• Anything-of-anything/Anything-3D

  Segment-Anything + 3D. Let's lift anything to 3D.

  Language:Python1.5k351575

• NVlabs/ODISE

  Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]

  Language:Python847404248

• JonasSchult/Mask3D

  Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.

  Language:Python5338164107

• showlab/VLog

  Transform Video as a Document with ChatGPT, CLIP, BLIP2, GRIT, Whisper, LangChain.

  Language:Python52861126

• nihaomiao/CVPR23_LFDM

  The pytorch implementation of our CVPR 2023 paper "Conditional Image-to-Video Generation with Latent Flow Diffusion Models"

  Language:Python444114642

• sihyun-yu/PVDM

  Official PyTorch implementation of Video Probabilistic Diffusion Models in Projected Latent Space (CVPR 2023).

  Language:Python298133715

• patrickvonplaten/controlnet_aux

  Language:Python27854663

• CVMI-Lab/PLA

  (CVPR 2023) PLA: Language-Driven Open-Vocabulary 3D Scene Understanding & (CVPR2024) RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding

  Language:Python256145311

• real-stanford/semantic-abstraction

  [CoRL 2022] This repository contains code for generating relevancies, training, and evaluating Semantic Abstraction.

  Language:Python105566

• ICTMCG/FakeSV

  Official repository for "FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms", AAAI 2023.

  Language:Python1012209

• showlab/ShowAnything

  Language:Jupyter Notebook80713

• AmingWu/Single-DGOD

  Language:Python652358

• saltoricristiano/cosmix-uda

  Official PyTorch implementation of the ECCV 2022 paper "CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation"

  Language:Python5851810

• LuigiRiz/NOPS

  Official implementation of the CVPR 2023 paper "Novel Class Discovery for 3D Point Cloud Semantic Segmentation"

  Language:Python55696

• HeliosZhao/SHADE-VisualDG

  Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization

  Language:Python20130

• VITA-Group/MLSP

  [ECCV 2022] "Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction" by Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tianlong Chen, Yu Cheng, Zhangyang Wang

  Language:Python191242

• HeliosZhao/SFOCDA

  Source-Free Open Compound Domain Adaptation in Semantic Segmentation. IEEE TCSVT

  Language:Python6221