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Fine Arts

Photography

The Research Process: Key Steps for Effective Literature Searching

Engaging in research requires a strategic and methodical approach akin to the scientific method. With practice, this process becomes increasingly efficient and intuitive.

1. Brainstorming and Planning
Begin by identifying potential keywords relevant to your research topic. Consider discipline-specific terminology and develop a list of synonyms or related concepts in advance. It is advisable to keep a record of the terms and phrases you encounter, as new and more precise vocabulary will likely emerge during the course of your search.

2. Developing a Search Strategy
Once you have a working list of keywords, the next step involves structuring these terms into a coherent search strategy. Consider where you will conduct your searches (e.g., academic databases, library catalogs, or scholarly websites) and how you will combine keywords using Boolean operators and other search techniques.

3. Selecting and Searching Appropriate Resources
Choosing the right databases is crucial to effective research. No single database will suffice for all inquiries, so plan to search across multiple platforms, tailoring your keywords and strategies to each. Familiarize yourself with the functionality and subject coverage of each resource to optimize your search outcomes.

4. Evaluating and Refining Your Search
Literature searching is inherently iterative. As you search, continuously evaluate the quality and relevance of your results. Be prepared to revise your keywords, search combinations, and choice of databases based on what you discover. Like empirical research, literature searching benefits from regular reflection and refinement.

5. Managing Search Results
Effective research involves organizing and managing the sources you locate. Citation management tools, such as Zotero, can assist you in systematically saving, annotating, and citing your references, ensuring that your research process remains organized and reproducible.

 

Photography Journals in the Library collection that may be of interest.

Purpose

The following are a series of questions to ask yourself whenever you encounter a source, whether online, through social media, recommended by a friend, or in a library database.

What is my purpose in looking for this information?
What is the purpose of this source?
How did I find this source?
How was this source created, recommended, disseminated?
How did I come to know about this source's existence?
Who is the intended audience?
Do I know what this thing is (can I summarize it and its intentions easily)?

Authority

Assessing authority can be tricky, but we often do it pretty hastily and without thinking. The following questions are designed to help you slow down and reflect on the authorship and authority of the sources you encounter.

Who is the author?
Is the source easy to investigate? How transparent is its claims, links, sources?
What are the creator's education, credentials, occupation, affiliations, other publications? How are these qualifications relevant to the information presented?
Is the resource peer reviewed or edited? If so, by whom?
Does the creator know what they're talking about?
Is the site stable? Has it been there for a while and does it look like it's going to stay?

Scope

Finally, we often assess the scope, currency, and coverage of sources without thinking, but they can tell us a lot about a source, and whether they are appropriate to our research.

Is the topic covered comprehensively or selectively?
Is coverage regional, national, or international?
Is coverage recent or historical?
Is coverage up-to-date?

 

Image Forensic Tools

 

 

 

 

Concept Exploration:

  • Microsoft Copilot

    • Free for KPU users
    • Guidelines for using Generative AI at  KPU
  • Midjourney

    • Art and illustration. Requires an account and the Discord app. Requires payment.
  • Dall-E

    • Style favors photorealism, and features in-painting (editing selected image areas via prompts). Requires payment.

Final Visualizations:

  • Stable Diffusion

    • A free and open-source model that is highly customizable. Can be run through multiple different platforms, even your own computer if the hardware supports it.
    • Stable Diffusion on Replicate - Accessing Stable Diffusion through the Replicate UI
    • Stable Diffusion on Automatic1111 - Accessing Stable Diffusion through a downloaded UI, allows for further customization
    • ControlNet - ControlNet is a neural network structure to control diffusion models by adding extra conditions, allowing for precise control over image generation such as specifying poses, objects, lines, etc. via user-drawn inputs.

Style Transfer:

  • RunwayML

    • Collection of AI models such as text-to-video, text-to-image, and image-to-image, with the ability to train your own models. Free with basic features.

Concept Training

  • Eden.art

    • AI platform that allows for you to train concepts (see: LORA - Low-Rank Adaptation), that act as guides for image generation. Useful for guided image generation based on your dataset of imagery.

3D

  • Luma ai

    • 3D mesh generator that creates mesh models from text prompts, importable as multiple file formats. Free.
  • Meshy.ai

    • 3D mesh generator that creates mesh models from text prompts, importable as multiple file formats. Able to specify styles (realistic/low-poly). Free with limited credits on sign-up.

Image Editing

  • Adobe Photoshop

    • Enables the ability to add, remove, or expand content in images through text prompts in Photoshop. Trained in Adobe Stock photos. Requires paid Adobe subscription.

Upscaling

  • Crea.ai

    • Free image upscaling, is useful to sharpen edges and clarify unresolved details. Free allows for 2x upscaling, paid goes up to 8x.
  • Nightmare.ai

    • Paid image upscaling running on replicate, can upscale from 2x to 10x the original image resolution.

General Purpose/Other

  • Craiyon

    • Free and easily accessible, supersedes Dall-E Mini.
  • Deep Dream Generator

    • Allows users to visualize the patterns learned by a neural network (free with limited credits)
  • Ideogram

    • AI model specializing in text generation, an area AI image generators typically struggle with. Free to use.
  • Whisk

    • A Google lab tool for blending different visual elements into something entirely new. Sign-in with Google.
  • Zoo

    • An open-source AI playground where users can do direct comparisons of a prompt across different AI models