This video provides a comprehensive guide to advanced color grading techniques in DaVinci Resolve, focusing on achieving rich colors while minimizing noise. Key takeaways include:
DCTL Recommendations: Discover Mono Balance for precise skin tone checks and Mono Saturation Density for fine-tuning skin textures without introducing noise.
Skin Correction: Learn advanced skin retouching by using Color Space Conversion for isolating skin tones, enabling detailed adjustments while maintaining natural textures.
Exposure and Color Management: Master proper exposure settings using scopes and understand recommended DaVinci Resolve Color Management settings (DaVinci YRGB, DaVinci Wide Gamut Intermediate, Rec 709/2.4) for consistent color.
Noise Reduction Strategy: Explore optimal placement of noise reduction nodes within your color grading workflow, especially when dealing with mixed camera footage.
Creative Effects: Learn how to enhance elements like cat fur using "Glow" and "Midtone Detail" adjustments for a softer, more appealing look.
Color Intensity Comparison: Understand the different impacts of Saturation, Color Boost, and HSV adjustments on overall color intensity and potential noise generation. HSV Gamma adjustment is shown to potentially introduce more noise for extreme changes compared to other methods.
Blackmagic Cameras: Discusses the improved autofocus of newer Blackmagic cameras like the Cinema Camera 6K FF and Pyxis, and highlights the 12K Pyxis's ability to shoot 4K uncropped from the full sensor. The Ursa Mini Pro 4.6K G2 is re-evaluated for its RAW quality despite being an older model.
Comparison of color adjustment methods in DaVinci Resolve showing Saturation, Color Boost, HDR Mode, and HSV Gamma.
[
01:27:27
]
The host welcomes viewers to the YouTube Live session, inviting questions on color grading and DaVinci Resolve.
Viewers can submit footage for live demonstration via email, receiving the project file afterward.
An online survey reveals DaVinci Resolve and Premiere Pro as the most used editing software.
Discussion on the latest PowerGrade "MZPG9" release and online salon assignments, including color grading Sony S-Log2 8-bit footage.
Common Color Grading Pitfalls and Best Practices [00:08:00]
Unreliable Preview Environment:
Critiques using the computer's GUI preview screen for color grading, as it doesn't display accurate colors due to OS-level video processing.
Emphasizes the need for a calibrated external monitor for precise color work, even basic calibration of the GUI monitor won't yield accurate colors.
Live Archive Monetization: The host plans to make live archives member-exclusive to allow for more in-depth discussions.
Bias Lighting for Monitors:
Introduces bias lighting behind monitors as a crucial element for a proper color grading environment.
Demonstrates how bias lighting, set to 6500K, helps reduce eye strain and provides a more consistent viewing environment when working in dark rooms, especially for detailed dark areas.
Challenges of Skin Retouching: Skin issues are not always uniform; targeting only rough areas can alter the texture of surrounding skin.
Layered Correction Approach:
Overall Clean-up: Apply general skin smoothing first.
Targeted Refinement: Use Power Windows to isolate specific rough areas for individual cleaning.
Color Space Conversion for Precise Keying:
Convert footage to Rec 709 Gamma 2.4 before applying qualifiers to select skin tones. This helps achieve a cleaner key.
Explains a node tree structure where color space conversion is used on a separate node to extract the key, then that key is used to adjust the skin in DaVinci Wide Gamut Intermediate.
This method allows for more precise and noise-free skin adjustments compared to applying qualifiers directly on log footage or after a 709 conversion for general color adjustments.
Node tree demonstrating color space conversion from DaVinci Wide Gamut Intermediate to Rec 709 for more precise skin keying.
[
00:37:19
]
Detailed node tree showing how to extract a clean key from skin tones by converting to Rec 709, then applying corrections within the DaVinci Wide Gamut Intermediate space.
[
00:38:39
]
Optimal Exposure Settings and Color Management in DaVinci Resolve [00:40:19]
Exposure for Color Correction:
Recommends using scopes (waveform monitor) to set initial exposure, aiming for an average mid-range level to maximize dynamic range before creative grading.
Avoid making dark scenes excessively bright initially, as this can compress highlights and limit future adjustments.
Emphasizes establishing contrast and color before making final brightness adjustments.
Waveform scope showing proper exposure for color correction, with values distributed across the mid-range.
[
00:41:09
]
Waveform scope adjusted to bring the average brightness closer to the middle, maximizing dynamic range.
[
00:41:49
]
DaVinci Resolve Color Management (DRCM) Settings:
Recommends "DaVinci YRGB Color Managed" for Color Science, "DaVinci Wide Gamut Intermediate" for Timeline Color Space, and "Rec 709 Gamma 2.4" for Output Color Space.
Explains that DRCM automatically applies appropriate color transforms if metadata (e.g., S-Log footage) is present.
For footage without metadata (e.g., DJI D-Log M), manual input color space selection is necessary via right-click on the clip.
Discusses the flexibility of manual node-based color space transforms versus automatic DRCM for advanced noise handling.
Demonstrates swapping noise reduction and color space conversion nodes (e.g., noise reduction before CSC) for extreme noise situations, which is possible in YRGB but not easily in DRCM.
Creative Enhancement: For bright cat fur under light, applying a "Glow" effect can enhance its beauty and fluffiness.
Midtone Detail for Texture: Suggests adjusting "Midtone Detail" slightly to reduce over-sharpening or over-clarity, making fur appear softer and more natural.
Targeted Application: Use Power Windows to apply effects like Glow or Midtone Detail only to the cat's fur, avoiding unwanted effects on other parts of the image or person.
Consider Lighting and Color: The approach varies based on lighting (consistent vs. inconsistent) and fur color (e.g., white vs. black cat).
Image showing a dog's fur with a "Glow" effect applied, enhancing the bright areas.
[
01:11:17
]
Midtone Detail control in DaVinci Resolve, which can be adjusted to soften or enhance textures like fur.
[
01:14:07
]
Comparison of Saturation, Color Boost, and HSV for Color Intensity and Noise [01:22:18]
Different Methods for Increasing Saturation:
Saturation: Standard adjustment, moves all colors radially from the center of the vectorscope.
Color Boost: Intelligently increases saturation, especially in less saturated areas, often with less aggressive impact on skin tones.
HDR Mode Color: Provides precise control over color primaries in HDR mode, which can also be leveraged for saturation adjustments.
HSV (Hue, Saturation, Value) Gamma: Adjusting gamma within HSV space can increase saturation.
Impact on Noise:
Different methods yield different noise profiles, even when achieving similar visual saturation levels.
HSV Gamma adjustment, when pushed to extremes, can introduce noticeable noise more readily than other methods.
Emphasizes the importance of comparing results from various methods to choose the one that maintains the cleanest image with desired color intensity.
The presenter visually compares the results of adjusting Saturation, Color Boost, HDR Mode, and HSV Gamma, noting differences in noise.
Vectorscope showing a slightly more saturated image from the standard Saturation control.
[
01:23:07
]
Vectorscope showing the effect of Color Boost, often preserving skin tones better.
[
01:23:27
]
Vectorscope displaying the result of adjusting color intensity using the HDR Mode controls.
[
01:25:47
]
Vectorscope illustrating the impact of HSV Gamma adjustment, which can introduce more noise at extreme levels.
[
01:26:17
]
Blackmagic Camera Insights and Market Trends [01:42:00]
Blackmagic Cinema Camera 6K FF Autofocus: Recent updates show significant improvement, making it more practical for professional use beyond cinema-style shoots where manual focus is common.
Blackmagic Pyxis 6K vs. 12K:
The Pyxis 12K model offers the advantage of shooting 4K video using the entire sensor, avoiding the cropping that occurs when shooting 4K on the 6K sensor.
Cropping can lead to a perceived reduction in image quality despite technical specifications.
The Pyxis 12K shares the same sensor as the Ursa Cine 12K, offering exceptional image quality at a more accessible price point (~600,000 JPY during a sale).
Blackmagic Pyxis 6K and 12K cameras, highlighting their similar appearance but different sensor capabilities.
[
01:45:06
]
Ursa Mini Pro 4.6K G2 Re-evaluation:
Despite being an older model, the Ursa Mini Pro 4.6K G2 offers excellent image quality, particularly when shooting in Blackmagic RAW (BRAW) at low compression ratios (e.g., 8:1).
It features a built-in ND filter, a practical advantage.
Its ability to deliver film-like quality while managing memory efficiently makes it a strong contender for independent projects.
Blackmagic URSA Mini Pro 4.6K G2, an older but still capable camera praised for its image quality.
[
02:02:45
]
AI-Generated Footage vs. RAW Footage: Contrasts the "artificial beauty" of AI-generated videos with the "raw" or "real" feel of footage from cameras like Blackmagic, suggesting that RAW footage will retain unique value in the AI era.
Camera Brand Preferences in Professional Settings: While Sony (e.g., FX6) and Canon are frequently specified for projects in Japan, Blackmagic cameras are gaining traction, especially for international projects, due to their cinematic image quality.
