Setting up Synty Models - Mesh Animation baker Unity3d скачать в хорошем качестве

Setting up Synty Models - Mesh Animation baker Unity3d

Have you ever dreamed of staging epic battles with massive armies, populating cities with hundreds of NPCs, or simply rendering huge crowds without your frame rate plummeting? The GPU Instanced Animation System for Unity is your ultimate solution. This system bypasses Unity's traditional, CPU-intensive Animator workflow by "baking" your animations into mesh data. This data is then rendered using the incredibly fast GPU Instancing technology. ▶ Get it on the Asset Store https://assetstore.unity.com/packages... KEY FEATURES: Extreme Performance: Render thousands of animated characters with minimal CPU overhead using GPU Instancing. Integrated LOD System: Save even more performance by automatically switching to lower-detail meshes for distant units. Highly efficient, utilizing Unity's C# Job System & Burst Compiler. Dynamic Attachments: Maintain important bones (like hands or head) and attach weapons, helmets, or other objects that perfectly follow the animation. Full Event Support: Trigger Animation Events to play sound effects, spawn particles, or execute game logic exactly like with the native Animator. Easy Workflow: An intuitive "Animation Baker" window makes converting your models and animations a breeze. WHY THIS ASSET? Massive Batch Reduction: Drastically reduce your draw calls (approx. 10x fewer batches in tests with 5k units) to free up CPU resources. Reduced CPU Overhead: Animation logic is offloaded to the GPU, leaving your CPU free for other crucial tasks. Full C# Source Code is included. Compatibility: Supports the Built-in Render Pipeline and URP. Breathe life into your game world and create scenes that were previously impossible. Get the GPU Instanced Animation System today! Local Elevator von Kevin MacLeod unterliegt der Lizenz Creative-Commons-Lizenz "Namensnennung 4.0". https://creativecommons.org/licenses/... #unity #gamedev #unityasset #unity3d #performance #gpuinstancing #indiedev