hero-y

hero-y

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Company:Zhejiang University, NTU, Alibaba DAMO

Location:Hangzhou,China

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hero-y's starred repositories

RealisHuman

Code of RealisHuman: A Two-Stage Approach for Refining Malformed Human Parts in Generated Images

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MindBridge

[CVPR 2024 Highlight] Official PyTorch implementation of "MindBridge: A Cross-Subject Brain Decoding Framework"

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Awesome-Domain-LLM

收集和梳理垂直领域的开源模型、数据集及评测基准。

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dive-into-llms

《动手学大模型Dive into LLMs》系列编程实践教程

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top-cvpr-2024-papers

This repository is a curated collection of the most exciting and influential CVPR 2024 papers. 🔥 [Paper + Code + Demo]

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DreamPhysics

DreamPhysics: Learning Physical Properties of Dynamic 3D Gaussians from Video Diffusion Priors

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NAE_CVPR2024

Accepted by CVPR 2024

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DiffAssemble

Official repository for "DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly" accepted at CVPR2024

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PhysGaussian

[CVPR 2024 Highlight] PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics

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Agent-Attention

Official repository of Agent Attention (ECCV2024)

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Moore-AnimateAnyone

Character Animation (AnimateAnyone, Face Reenactment)

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Open-Sora-Plan

This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

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Awesome-CVPR2024-ECCV2024-AIGC

A Collection of Papers and Codes for CVPR2024/ECCV2024 AIGC

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U-Mamba

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

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Seeing-and-Hearing

[CVPR 2024] Seeing and Hearing: Open-domain Visual-Audio Generation with Diffusion Latent Aligners

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TrailBlazer

TrailBlazer: Trajectory Control for Diffusion-Based Video Generation

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ISTA-Net-PyTorch

ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (PyTorch Code)

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SegMamba

SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

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VMamba

VMamba: Visual State Space Models,code is based on mamba

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VisionMamba

Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when performing batch inference to extract features on high-res images

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Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

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Awesome-Video-Diffusion-Models

[CSUR] A Survey on Video Diffusion Models

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MM-Diffusion

[CVPR'23] MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation

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Awesome-Video-Diffusion

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

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