Asset Store newest packages

Simple fire and explosion particle effects for low poly games!

Features:
- Fire (Small, Medium, Large) - Explosion (Small, Medium, Large) - Flamethrower (Small, Large) - Campfire - 2 styles: surface and unlit (custom particle surface / particle unlit shaders)
Price $5.00

DEMO BUILD
...........................................................
Alpine Lake Environment
- Scene with 5km*5km gameready terrain (normal/ao/color/diffuse/height).
- Background Mountains (world machine optimized mesh)
- 22 Prefabs of Stumps (Photogrammetry)
- 19 Prefabs of forest Stones (Photogrammetry)
- Terrain texture maps (normal/color/height/splat). and HI-RES ground textures
- Particles of clouds and birds
- Grass
and others
...........................................................
DEMO BUILD
The demo does not contain all functions.
...........................................................
Use Linear ColorSpace
...........................................................
Not working in the HDRP
Price $35.00

Hand Animation/hand painting~!
Includes 3ds Max2011 version Character original file
humanoid setup.

idle-idle1-walk-run-attack stance-attack1-attack2-attack3-combo-skill1-skill2-push-block-jump-down--damage-stun-dead
animation : 18
2679 poly / 5179 tris / 2834 verts
textuer
png 1024*1024 x 3, 512*512 x 3 color map
[My blog]


Price $15.00

A gigantic former boxer nightclub doorman / bodyguard.

🔸 Model: 5500 tris.
🔸 Three sets of materials.
🔸 Textures: diffuse, normal and specular.
🔸 Rigged, Mixamo ready, no animations.

Price $4.99

Features:
Polygons = 28509
Vertex = 26925
-Textures PBR - unity-
12 items Format:
PNG Resolution: 2048x2048 px
Animations
-. Animations
-. low_swim
-. speed_swim
-. attack_anim
-. speed_swim_attack
-. Right_swim
-. Left_swim
-. Up_swim
-Texture Types- PBR
AlbedoTransparency
-Normal
-MetallicSmoothness
- Model is scaled correctly 4m
- PBR Shader.
- File complete -
-.fbx (multi format)
- Textures - .png
-2048x2048

Price $49.99

This package is perfect for your VR / PC/ mobile applications security room.its very low poly assets

Package includes:
12 screen of monitors,
1 chair and table,
Keyboard , mouse and CPU,
Office files
Door ( individual mess you can easy to modify door placement)
security room with proper light map i added in this package.

Poly count Tris: 2668 ( all assets including hall), Textures : 4 * 1024
Price $19.00

PROFESSIONAL 3D MODEL FOR ANIMATIONS AND GAME.

High quality and low poly model of Remus Wolverine. Remus Wolverine is perfect for your game, cartoon or any other project.

Originally modelled in Maya.This Malachite is Rigged.

This 3d model was made with care and detail in every particular, based on real-world objects.

GEOMETRY-
The model is made in MAYA.

All model is 100% smoothable and easily editable.

The level of detail of this 3d model is implemented for the most extreme close-up renderings.

You can applied smooth to each object ( also smaller ones , bolts cables etc...) and you can have higher zoom, without losing detail.

In FBX version maya 2015,

Objects are textured by diffuse maps.

No 3rd party plugin needed.

TECHNICAL INFORMATIONS-

MODEL
Remus Wolverine- Faces:9717,Vertices:10295,

RIG
The rig comes in FBX format.A more simple rig is included for use in any other software package.
The advanced rig comes with custom bone widgets, IK constraints, Morph targets etc.

TEXTURES-

1 Variation of textures
Diffuse map,2048x2048

Textures formats PNG

1 Rigged Model in FBX format.

ANIMATION-
8 Animation List -
Attack_01,Attack_02,Back Walk,Crawl,Idle,Run Back,Run,Walk.
Website: http://creative.arkayaventures.com/
Email
Animation Demo Link
Model Demo Link
NOTE-

Kindly note, the background images in artwork are only for demonstration purpose and NOT included in this package for sale..

Price $15.90

Consider our Sci-Fi Sound Pack for more guns and other sci-fI sound effects.

♫ Listen to the preview here
→ Check the file list

Cafofo proudly presents 70 high-quality sound effects for sci-fi guns, futuristic weapons and additional sounds like explosions, laser saber, aiming, reloading and general foley.

Each file is a high-quality asset free of noise


Price $8.00

This asset has been created with a simple mechanism to ensure its effectiveness in generating a large number of difference models quickly in a scene build.

If you have the 3Dmodel asset on hand, you can try automatic generation immediately.

Register the information of the prefabs arranged in the scene in ScriptableObject and use this as a parts list,
Combine parts randomly and rearrange them in the scene.
By using the Material Random Changer component and editor bundled with this asset together, a large number of difference models can be arranged in a scene in an instant.

Sample WebGL
Price $15.00

• Dynamic Non-player character Combat Artificial Intelligence using Machine Learning Multiclass prediction engine (Reaction AI + Microsoft ML.NET)
• A* pathfinding
• Automatic audio detection and following for NPC

NOTE: requires: x64 platform and Unity version
Unity 2019.2.19f1 (64-bit) or higher

Built on top of Reaction AI Steroid Edition with optimizations and now using Microsoft ML .NET Machine Learning for Multiclass predictions for NPCs' moves.

Still includes A* pathfinding as well as automatic follow sound source

see User Guide

Reaction AI is an artificial intelligence engine to be used for game developers that have nonplayer characters governed by AI or other game components that rely on artificial intelligence for reactions based on actions by the avatar. It can also be used for other systems that require learning systems and provides an intelligent output based on input. Reaction AI models the human Mind and neural networks in its design. It learns over time and uses past events in a memory system to determine the next best reaction. However, it is pseudo-dynamic in the resulting output based on how well the “mind” is functioning at that time based on stimuli. The “mind” is divided into four components, each sized proportionally to the human mind.

Once there is enough data, it will train an ML .NET multiclassification model and use that model to make predictions of what the NPC action should be. The prediction is based on a feature vector that includes providing a parameter for the desired success value, and then vending the respective action based on that with the other features provided for the training and prediction.

If a model has been trained, it will be saved locally and used for further predictions. The model can continuously get trained with additional data over time. The training data is also saved locally and can be used to train the model upon making an API call. The training data size limit is also configurable and will not exceed the amount specified (to not allow the data size to increase beyond a desired amount).

The multiclass training and predictions use a Multiclass Maximum Entropy training algorithm. Before the model is trained, the API will utilize the base Reaction AI algorithm for determining the NPC move. As mentioned, once the Machine Learning Model is trained, it will then start making prediction using the trained model. Furthermore, the predictions will also introduce a reaction using the base algorithm (not the model) once every 5 times as a means to introduce “noise” to allow the next iteration of training the model to be more dynamic.
Price $7.99