fangfang11-plog

fangfang11-plog's Stars

• GT-RIPL/Awesome-LLM-Robotics

  A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

  3.2k249

• happywangmakeit/awesome-visual-navigation

  2

• gokayfem/awesome-vlm-architectures

  Famous Vision Language Models and Their Architectures

  Language:Markdown51425

• jingyi0000/VLM_survey

  Collection of AWESOME vision-language models for vision tasks

  2.6k227

• ruzko/MS_RAFT_plus

  [ECCV RVC 2022 Winner] Inference code for MS-RAFT+, the 2022 Robust Vision Challenge winner in the category "Optical Flow"

  1

• jiwoogit/StyleID

  [CVPR 2024 Highlight] Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer

  Language:Python25017

• omerbt/TokenFlow

  Official Pytorch Implementation for "TokenFlow: Consistent Diffusion Features for Consistent Video Editing" presenting "TokenFlow" (ICLR 2024)

  Language:Python1.6k138

• wwsource/SceneTracker

  SceneTracker: Long-term Scene Flow Estimation Network

  Language:Python1091

• vineeths96/Video-Interpolation-using-Optical-Flow

  In this repository, we deal with the task of video frame interpolation with estimated optical flow. To estimate the optical flow we use Lucas-Kanade algorithm, Multiscale Lucas-Kanade algorithm (with iterative tuning), and Discrete Horn-Schunk algorithm. We explore the interpolation performance on Spheres dataset and Corridor dataset.

  Language:Python324

• MCG-NJU/EMA-VFI

  [CVPR 2023] Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolatio

  Language:Python41642

• serycjon/MFTIQ

  Official implementation of "MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation"

  Language:Python5

• Mingxiao-Li/Animate-Your-Motion

  Language:Python221

• hzwer/Awesome-Optical-Flow

  This is a list of awesome paper about optical flow and related work.

  49033

• rioyokotalab/PixPro-with-OpticalFlow

  Pixel-level Contrastive Learning of Driving Videos with Optical Flow, CVPR 2023 Workshop

  Language:Python5

• cuteyyt/or-nerf

  OR-NeRF: Object Removing from 3D Scenes Guided by Multiview Segmentation with Neural Radiance Fields

  Language:Jupyter Notebook443

• modelscope/richdreamer

  [CVPR2024 (Highlight)] RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D. Live Demo：https://modelscope.cn/studios/Damo_XR_Lab/3D_AIGC

  Language:Python42518

• NVlabs/FoundationPose

  [CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects

  Language:Python1.6k219

• vuer-ai/feature-splatting-inria

  Feature splatting based on INRIA GS rasterizer

  Language:Python456

• Genesis-Embodied-AI/RoboGen

  A generative and self-guided robotic agent that endlessly propose and master new skills.

  Language:Python72662

• NIRVANALAN/GaussianAnything

  High-quality and editable surfel Gaussian generation through native 3D diffusion.

  Language:Python20210

• qizekun/ShapeLLM

  [ECCV 2024] ShapeLLM: Universal 3D Object Understanding for Embodied Interaction

  Language:Python15510

• baaivision/Uni3D

  [ICLR'24 Spotlight] Uni3D: 3D Visual Representation from BAAI

  Language:Python50429

• tianfr/Semantic-Flow

  [ICLR 2024] This is the official implementation of our paper "Semantic Flow: Learning Semantic Fields of Dynamic Scenes from Monocular Videos".

  Language:Python9

• iCVTEAM/E2NeRF

  Language:Python212

• prismformore/DiffusionMTL

  Code of our CVPR2024 paper - DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data

  Language:Python452

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook40.2k4.3k

• cvlab-kaist/DiffMatch

  Official implementation of "Diffusion Model for Dense Matching" (ICLR'24 Oral)

  Language:Python1646

• IDEA-Research/awesome-detection-transformer

  Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)

  1.3k113

• ruili3/awesome-dust3r

  🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.

  3739

• ShijieZhou-UCLA/feature-3dgs

  [CVPR 2024 Highlight] Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields

  Language:C++40326