Jeep Compass Longitude 2017 3D model

cgtrader

Detailed high-poly model crafted by the SQUIR team. Prepared to render seamlessly within 3ds Max with V-Ray, this highly detailed model shines with a smooth workflow. Built with V-Ray 3.20, the rendering scene, inclusive of all lighting effects, material settings, and backdrop arrangements, is carefully packed specifically for 3ds Max 2015's advanced V-Ray capabilities. Notably, although compatible files in the 3ds Max 2010 format are also included, they come without any lighting or rendering setup. This limitation ensures users of earlier versions still have access to our standard materials, devoid of intricate shading and background settings typically used by modern software. Each of our detailed models is created within the robust platform of 3ds Max. We're proud to provide users with an uncollapsed modifier stack specifically designed for 3ds Max use cases. For requests involving mesh reductions aimed at optimizing performance across various programs, kindly reach out to our dedicated support team, who will skillfully convert and adapt your model as needed. Important visual information regarding the polygon density is presented both in the wireframe and hpoloy views. Each offers an insightful look into the intricate structure of the model. Included with this purchase are three distinctive 3ds Max files tailored for unique usage needs: "Set" is completely uncollapsed, serving as a working model that can be tweaked without worrying about compatibility issues; "Hipoly," on the other hand, has its history fully cleaned and is optimized to reduce complexity while being compatible across various programs. Lastly, the "Studio" file captures the exact rendering settings employed for our preview images. Because system architecture varies between computers, it's not uncommon for users to encounter disk topology inconsistencies. When encountering this issue, you might need to manually adjust texture paths within your own program for optimal results. Your continued trust and support in SQUIR models is greatly valued and deeply appreciated.