DaVinci Resolve 20: Building Node Trees and Matching Reference Looks for Beginners

JustColorThings

Summary:
  • The video teaches how to build a basic node tree and match a reference look in DaVinci Resolve 20.
  • The host emphasizes the importance of using reference images for consistent and improved color grading, introducing Shot Cafe as a free online tool [Image 16].
  • Shot Cafe also features an inbuilt RGB parade scope to analyze reference images directly, aiding in visual comparison with your footage [Image 35].
  • A standard node tree structure is presented in DaVinci Resolve, dividing adjustments into primaries, secondaries, and final look elements [Image 42].
  • Color management setup using Color Space Transforms for input, working, and output color spaces is demonstrated [Image 52].
  • The video outlines a three-step image reading process: analyzing Luma (brightness/contrast) [Image 56], Color (hues) [Image 76], and Saturation [Image 80].
  • Waveform scopes are used to analyze and adjust luma levels (highlights, midtones, shadows) and color balance by matching the reference [Image 60] [Image 68].
  • Techniques for targeted adjustments include using qualifiers and power windows to isolate specific elements like skin tones [Image 84].
  • The video showcases a "Before" and "After" comparison of the graded footage [Image 90], and also compares it with the chosen reference [Image 95].
  • The entire node tree can be saved as a .drx file for quick application to future projects, streamlining workflow [Image 103].

Introduction to Color Grading & Reference Looks [0:05] [Image 4]

The Importance of Reference Images [0:40]

Introducing Shot Cafe for References [1:07] [Image 16]

Building a Node Tree in DaVinci Resolve 20 [5:01] [Image 42]

Understanding Color Correction vs. Color Grading [6:24] [Image 52]

Reading an Image for Color Grading [8:02] [Image 56]

Adding Final Touches and Exporting Node Tree [28:26] [Image 90]

The video concludes with a recap of the three image reading questions (Luma, Color, Saturation) and an invitation for viewers to share their insights and questions in the comments.