Hengye Lyu (hyelyu)

hyelyu

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Company:Sichuan University

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Hengye Lyu's starred repositories

DSINE

[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:637Issues:0Issues:0

Depth-Anything-V2

Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

Language:PythonLicense:Apache-2.0Stargazers:2665Issues:0Issues:0

Depth-Anything

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

Language:PythonLicense:Apache-2.0Stargazers:6530Issues:0Issues:0

segment-anything-edge-detection

Unofficial edge detection implementation using the Automatic Mask Generation (AMG) of the Segment Anything Model (SAM).

Language:C++Stargazers:49Issues:0Issues:0

Semantic-Segment-Anything

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

Language:PythonLicense:Apache-2.0Stargazers:2061Issues:0Issues:0

AlphaCLIP

[CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:596Issues:0Issues:0

garfield

[CVPR'24] Group Anything with Radiance Fields

Language:PythonLicense:MITStargazers:355Issues:0Issues:0

feature-3dgs

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

Language:C++License:NOASSERTIONStargazers:265Issues:0Issues:0

gaussian_surfels

Implementation of the SIGGRAPH 2024 conference paper "High-quality Surface Reconstruction using Gaussian Surfels".

Language:PythonStargazers:447Issues:0Issues:0

dn-splatter

DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing

Language:PythonLicense:Apache-2.0Stargazers:341Issues:0Issues:0

DINO

[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

Language:PythonLicense:Apache-2.0Stargazers:2102Issues:0Issues:0

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Language:Jupyter NotebookLicense:MITStargazers:23833Issues:0Issues:0

LangSplat

Official implementation of the paper "LangSplat: 3D Language Gaussian Splatting" [CVPR2024 Highlight]

Language:PythonLicense:NOASSERTIONStargazers:582Issues:0Issues:0

nr_in_a_room

Code for "Neural Rendering in a Room: Amodal 3D Understanding and Free-Viewpoint Rendering for the Closed Scene Composed of Pre-Captured Objects", ACM ToG

Language:PythonLicense:MITStargazers:14Issues:0Issues:0

manhattan_sdf

Code for "Neural 3D Scene Reconstruction with the Manhattan-world Assumption" CVPR 2022 Oral

Language:PythonLicense:NOASSERTIONStargazers:493Issues:0Issues:0

IntrinsicImageDiffusion

Intrinsic Image Diffusion for Single-view Material Estimation

Language:PythonLicense:NOASSERTIONStargazers:148Issues:0Issues:0

awesome-neural-rendering

Resources of Neural Rendering

License:MITStargazers:2276Issues:0Issues:0

i2-sdf

[CVPR 2023] I^2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs

Language:PythonLicense:MITStargazers:176Issues:0Issues:0

tev

High dynamic range (HDR) image viewer for graphics people

Language:C++License:BSD-3-ClauseStargazers:1039Issues:0Issues:0

learning_research

本人的科研经验

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2d-gaussian-splatting

[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields

Language:PythonLicense:NOASSERTIONStargazers:1714Issues:0Issues:0

oneformer3d

[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation

Language:PythonLicense:NOASSERTIONStargazers:269Issues:0Issues:0
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intrinsic

Code for Bell et al, "Intrinsic Images in the Wild", SIGGRAPH 2014.

Language:PythonLicense:MITStargazers:153Issues:0Issues:0

L1Flattening

An L1 Image Transform for Edge-Preserving Smoothing and Scene-Level Intrinsic Decomposition

Language:C++License:MITStargazers:67Issues:0Issues:0

ZoeDepth

Metric depth estimation from a single image

Language:Jupyter NotebookLicense:MITStargazers:2134Issues:0Issues:0

awesome-intrinsic-image-video-decomposition

A collection of intrinsic image/video decomposition based on traditional methods and deep learning methods

License:Apache-2.0Stargazers:24Issues:0Issues:0

S-Aware-network

[AAAI23] Estimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning, https://arxiv.org/abs/2211.14751

Language:HTMLStargazers:87Issues:0Issues:0

llm-course

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

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:34716Issues:0Issues:0