COMPOSITION
- 
Mastering Camera Shots and Angles: A Guide for FilmmakersRead more: Mastering Camera Shots and Angles: A Guide for Filmmakershttps://website.ltx.studio/blog/mastering-camera-shots-and-angles 1. Extreme Wide Shot  2. Wide Shot  3. Medium Shot  4. Close Up  5. Extreme Close Up  
- 
Composition – 5 tips for creating perfect cinematic lighting and making your work look stunningRead more: Composition – 5 tips for creating perfect cinematic lighting and making your work look stunninghttp://www.diyphotography.net/5-tips-creating-perfect-cinematic-lighting-making-work-look-stunning/ 1. Learn the rules of lighting 2. Learn when to break the rules 3. Make your key light larger 4. Reverse keying 5. Always be backlighting 
DESIGN
- 
IM3 Stained glassRead more: IM3 Stained glasshttp://imgur.com/a/GXUun#hO6wzrs Some people are asking how… here is a brief explanation on how I did it with photos…. 
 (more…)
- 
Japanese Designer Tomoo Yamaji Offers 3D Printed Transformer Kit, Stingray, Through ShapewaysRead more: Japanese Designer Tomoo Yamaji Offers 3D Printed Transformer Kit, Stingray, Through Shapewayshttps://3dprint.com/55799/transformer-kit-shapeways/ http://www.shapeways.com/product/5YHJL6XSZ/t060101-stingray?li=shareProduct 
COLOR
LIGHTING
- 
What’s the Difference Between Ray Casting, Ray Tracing, Path Tracing and Rasterization? Physical light tracing…Read more: What’s the Difference Between Ray Casting, Ray Tracing, Path Tracing and Rasterization? Physical light tracing…RASTERIZATION 
 Rasterisation (or rasterization) is the task of taking the information described in a vector graphics format OR the vertices of triangles making 3D shapes and converting them into a raster image (a series of pixels, dots or lines, which, when displayed together, create the image which was represented via shapes), or in other words “rasterizing” vectors or 3D models onto a 2D plane for display on a computer screen.For each triangle of a 3D shape, you project the corners of the triangle on the virtual screen with some math (projective geometry). Then you have the position of the 3 corners of the triangle on the pixel screen. Those 3 points have texture coordinates, so you know where in the texture are the 3 corners. The cost is proportional to the number of triangles, and is only a little bit affected by the screen resolution. In computer graphics, a raster graphics or bitmap image is a dot matrix data structure that represents a generally rectangular grid of pixels (points of color), viewable via a monitor, paper, or other display medium. With rasterization, objects on the screen are created from a mesh of virtual triangles, or polygons, that create 3D models of objects. A lot of information is associated with each vertex, including its position in space, as well as information about color, texture and its “normal,” which is used to determine the way the surface of an object is facing. Computers then convert the triangles of the 3D models into pixels, or dots, on a 2D screen. Each pixel can be assigned an initial color value from the data stored in the triangle vertices. Further pixel processing or “shading,” including changing pixel color based on how lights in the scene hit the pixel, and applying one or more textures to the pixel, combine to generate the final color applied to a pixel. The main advantage of rasterization is its speed. However, rasterization is simply the process of computing the mapping from scene geometry to pixels and does not prescribe a particular way to compute the color of those pixels. So it cannot take shading, especially the physical light, into account and it cannot promise to get a photorealistic output. That’s a big limitation of rasterization. There are also multiple problems: - If you have two triangles one is behind the other, you will draw twice all the pixels. you only keep the pixel from the triangle that is closer to you (Z-buffer), but you still do the work twice. 
- The borders of your triangles are jagged as it is hard to know if a pixel is in the triangle or out. You can do some smoothing on those, that is anti-aliasing. 
- You have to handle every triangles (including the ones behind you) and then see that they do not touch the screen at all. (we have techniques to mitigate this where we only look at triangles that are in the field of view) 
- Transparency is hard to handle (you can’t just do an average of the color of overlapping transparent triangles, you have to do it in the right order) 
 
- 
Disney’s Moana Island Scene – Free data setRead more: Disney’s Moana Island Scene – Free data sethttps://www.disneyanimation.com/resources/moana-island-scene/ This data set contains everything necessary to render a version of the Motunui island featured in the 2016 film Moana. 
- 
Light and Matter : The 2018 theory of Physically-Based Rendering and Shading by AllegorithmicRead more: Light and Matter : The 2018 theory of Physically-Based Rendering and Shading by Allegorithmicacademy.substance3d.com/courses/the-pbr-guide-part-1 academy.substance3d.com/courses/the-pbr-guide-part-2 Local copy:
 
- 
DiffusionLight: HDRI Light Probes for Free by Painting a Chrome BallRead more: DiffusionLight: HDRI Light Probes for Free by Painting a Chrome Ballhttps://diffusionlight.github.io/ https://github.com/DiffusionLight/DiffusionLight https://github.com/DiffusionLight/DiffusionLight?tab=MIT-1-ov-file#readme https://colab.research.google.com/drive/15pC4qb9mEtRYsW3utXkk-jnaeVxUy-0S “a simple yet effective technique to estimate lighting in a single input image. Current techniques rely heavily on HDR panorama datasets to train neural networks to regress an input with limited field-of-view to a full environment map. However, these approaches often struggle with real-world, uncontrolled settings due to the limited diversity and size of their datasets. To address this problem, we leverage diffusion models trained on billions of standard images to render a chrome ball into the input image. Despite its simplicity, this task remains challenging: the diffusion models often insert incorrect or inconsistent objects and cannot readily generate images in HDR format. Our research uncovers a surprising relationship between the appearance of chrome balls and the initial diffusion noise map, which we utilize to consistently generate high-quality chrome balls. We further fine-tune an LDR difusion model (Stable Diffusion XL) with LoRA, enabling it to perform exposure bracketing for HDR light estimation. Our method produces convincing light estimates across diverse settings and demonstrates superior generalization to in-the-wild scenarios.”  
- 
Composition – cinematography Cheat SheetRead more: Composition – cinematography Cheat Sheet Where is our eye attracted first? Why? Size. Focus. Lighting. Color. Size. Mr. White (Harvey Keitel) on the right. 
 Focus. He’s one of the two objects in focus.
 Lighting. Mr. White is large and in focus and Mr. Pink (Steve Buscemi) is highlighted by
 a shaft of light.
 Color. Both are black and white but the read on Mr. White’s shirt now really stands out.
 (more…)
 What type of lighting?
COLLECTIONS
| Featured AI
| Design And Composition 
| Explore posts  
POPULAR SEARCHES
unreal | pipeline | virtual production | free | learn | photoshop | 360 | macro | google | nvidia | resolution | open source | hdri | real-time | photography basics | nuke
FEATURED POSTS
- 
AnimationXpress.com interviews Daniele Tosti for TheCgCareer.com channel
- 
Mastering The Art Of Photography – PixelSham.com Photography Basics
- 
JavaScript how-to free resources
- 
MiniMax-Remover – Taming Bad Noise Helps Video Object Removal Rotoscoping
- 
What Is The Resolution and view coverage Of The human Eye. And what distance is TV at best?
- 
Decart AI Mirage – The first ever World Transformation Model – turning any video, game, or camera feed into a new digital world, in real time
- 
Alejandro Villabón and Rafał Kaniewski – Recover Highlights With 8-Bit to High Dynamic Range Half Float Copycat – Nuke
- 
STOP FCC – SAVE THE FREE NET
Social Links
DISCLAIMER – Links and images on this website may be protected by the respective owners’ copyright. All data submitted by users through this site shall be treated as freely available to share.

































