explaingit

guanyingc/latex_paper_writing_tips

Analysis updated 2026-07-03

3,749TeXAudience · researcherComplexity · 1/5LicenseSetup · easy

TLDR

A practical LaTeX guide for new grad students in AI/ML research, real conference paper and poster templates for CVPR, NeurIPS, ICCV, and ECCV, with writing tips from published work.

Mindmap

mindmap
  root((LaTeX Paper Tips))
    Paper templates
      CVPR ICCV NeurIPS ECCV
      Main paper
      Rebuttal response
      Supplementary
    Poster templates
      CVPR ECCV ICCV NeurIPS
      Real published examples
    Thesis templates
      HKU PhD dissertation
      Sun Yat-sen undergrad
    Tools
      Python figure utility
      Overleaf browser editor
    Audience
      New grad students
      Computer vision ML
Click or tap to explore — scroll the page freely

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

What do people build with it?

USE CASE 1

Start a CVPR or NeurIPS submission using a pre-formatted Overleaf template instead of building from scratch.

USE CASE 2

Write a rebuttal response to reviewer comments using a template that matches the expected conference format.

USE CASE 3

Design a conference poster by adapting a finished example from a published CVPR or ECCV paper.

USE CASE 4

Structure a PhD dissertation at HKU or an undergraduate thesis at Sun Yat-sen University using the provided templates.

What is it built with?

TeXLaTeXPythonOverleaf

How does it compare?

guanyingc/latex_paper_writing_tipssjtug/sjtuthesisctex-org/lshort-zh-cn
Stars3,7493,7723,671
LanguageTeXTeXTeX
Setup difficultyeasymoderatemoderate
Complexity1/52/52/5
Audienceresearcherresearcherresearcher

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

Templates open directly in Overleaf, no local LaTeX install required.

Open source, free to use and adapt the templates for your own academic papers.

In plain English

LaTeX is a document preparation system used widely in academic research. This repository is a practical guide for graduate students and researchers who are new to writing papers with LaTeX. The main resource is a PDF article with tips for paper writing, accompanied by working examples of tables and figures that the author used in published research. Because these examples come from actual conference papers, readers can see exactly how polished results look and copy the structure for their own work. The repository collects LaTeX templates specifically formatted for major computer vision and machine learning conference submissions: CVPR, ICCV, NeurIPS, and ECCV. These templates are available on Overleaf, a browser-based LaTeX editor, so you do not need to install anything locally. There are separate templates for the main paper, for rebuttal responses (the short reply authors send when reviewers raise concerns), and for supplementary material. The project also includes poster templates for academic conferences, again drawn from the author's actual published work at CVPR, ECCV, ICCV, and NeurIPS. Seeing a finished conference poster alongside its LaTeX source helps new researchers understand how the layout pieces fit together and how to adapt them. Two thesis templates are also shared: one for a PhD dissertation at the University of Hong Kong and one for undergraduate thesis formatting at Sun Yat-sen University. These are more specialized but useful if you are at either institution and need a starting point that matches the expected format. A small Python utility for creating and cropping figures rounds out the collection, along with pointers to related resources from other contributors. The project's main audience is new graduate students in computer vision or machine learning who need to write their first conference paper and are not yet comfortable with LaTeX. The examples are concrete and drawn from real publications, which makes the learning curve lower than reading generic documentation.

Copy-paste prompts

Prompt 1
How do I open the CVPR LaTeX template from this repo in Overleaf and start writing my paper?
Prompt 2
Show me how to create a multi-row, multi-column results table in LaTeX using the examples in this repo.
Prompt 3
How do I format a rebuttal response for a CVPR submission, what does the template structure look like?
Prompt 4
I need to make a conference poster for ECCV. How do I adapt the poster template from this repo?
Prompt 5
How do I use the Python figure utility in this repo to crop and prepare figures for a paper submission?

Frequently asked questions

What is latex_paper_writing_tips?

A practical LaTeX guide for new grad students in AI/ML research, real conference paper and poster templates for CVPR, NeurIPS, ICCV, and ECCV, with writing tips from published work.

What language is latex_paper_writing_tips written in?

Mainly TeX. The stack also includes TeX, LaTeX, Python.

What license does latex_paper_writing_tips use?

Open source, free to use and adapt the templates for your own academic papers.

How hard is latex_paper_writing_tips to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is latex_paper_writing_tips for?

Mainly researcher.

Open on GitHub → Explain another repo

This repo across BitVibe Labs

Scan in gitsafehub Deploy in gitdeployhub guanyingc on gitmyhub

Verify against the repo before relying on details.