Proposal for Brand IP Virtual Human Modeling and Animation Production

I. Project Overview

1.1 Project Background

Against the wave of digital transformation, brand IP virtual digital humans have become a core carrier for corporate brand communication, intelligent interactive services and digital twin visualization. Adopting high-precision 3D modeling, skeleton rigging and motion animation technologies, combined with mainstream rendering engines including Unity and Three.js, we build brand-identifiable, interactive and iterable digital human avatars widely deployed in diverse scenarios such as digital twin large screens, promotional materials and AI intelligent customer service.

1.2 Project Objectives

• Build exclusive high-precision 3D virtual human avatars supporting realistic, anime, cartoon and other art styles

• Complete character skeleton rigging and skin weight optimization to deliver natural, smooth motion performance

• Develop core motion animation library (scan, idle, dialogue, farewell) covering mainstream interaction scenarios

• Enable seamless compatibility with Unity and Three.js engines for multi-platform deployment on digital twin large screens, Web terminals and mobile devices

• Reserve AI semantic drive interfaces for subsequent intelligent upgrades (lip-sync, facial expression drive, voice linkage)

II. Overall Technical Architecture

2.1 Full Technical Roadmap

2.2 Overall Implementation Workflow

III. 3D Character Modeling Scheme

3.1 Modeling Specification Standards

3.2 Brand IP Avatar Design Implementation

• Avatar Positioning: Confirm character style based on brand tonality (tech / friendly / professional / national trend); deliver ≥3 conceptual design drafts

• Facial Features: Highlight brand memory points (signature hairstyle, accessories, makeup elements)

• Color System: Align with brand VI specs; ratio of primary & secondary colors follows corporate visual identity system

• Costume Design: Embed brand cultural symbols or industry-specific features

3.3 Modeling Technical Details

1. Base Mesh Construction: Build character base mesh via polygon modeling with clean topology; add subdivisions for face and joint regions

2. High-Detail Sculpting: ZBrush for high-poly sculpting (skin pores, fabric wrinkles, etc.)

3. Retopology: Retopologize high-poly assets to mid/low-poly meshes with sufficient edge loops for deform zones (joints, face)

4. PBR Material Production: Substance Painter multi-layer texture baking to restore physical surface properties

IV. Skeleton Rigging & Skinning Scheme

4.1 Skeleton System Architecture

4.2 Rigging Technical Workflow

• Maya Advanced Skeleton / Blender Rigify: Auto-rig plugins to generate base skeleton and shorten production cycle

• Skin Weight Optimization: Initial solve via Geodesic Voxel Binding + manual weight polish for natural joint deformation (focus on shoulder, elbow, knee, neck)

• Flexor & Twist Deformers: Add corrective deformers at elbows & knees to fix volume loss during bending

• Facial Rigging: Build ≥52 Blendshapes based on FACS covering common expressions & visemes

• Seamless IK/FK Switch: IK/FK controllers equipped for limbs & neck for animator flexibility

• Global & Sub Drive Controls: Hierarchical controller architecture with master transform control + regional sub-controllers

4.3 Rigging Acceptance Standards

• Joint rotation limits conform to human physiology (large joints like shoulder & hip allow moderate over-extend)

• Skin deformation pass test: No mesh interpenetration, collapse or jagged distortion under extreme poses

• Natural facial expressions without warping; no conflicts between combined Blendshapes

• Complete skeleton & skin data retention after import to Unity/Three.js

V. Motion Animation Production Scheme

5.1 Motion Animation List

Four core base motions to be delivered, each with loop version & single-play version:

5.2 Motion Production Technical Workflow

Method 1: Keyframe Hand Animation (Core Workflow)

1. Animation Storyboard: Draft key pose sketches for each motion to define start, critical poses, end silhouette & motion arcs

2. Blocking: Lay primary pose keyframes on timeline to lock timing & silhouette appeal

3. Breakdown: Insert in-between frames, refine motion arcs, add ease-in & ease-out curves

4. Polish: Refine hand & facial micro-expressions, breathing rhythm, secondary motion (cloth, hair follow-through)

5. Animation Curve Tuning: Adjust Animation Curve for elastic, organic movement

Method 2: Motion Capture Assistance (Optional, subject to budget)

• Optical / inertial mocap system to capture raw base motion data

• Clean raw mocap data & retarget to target skeleton

• Manual keyframe polish on mocap base to boost expressiveness & stylization

5.3 Motion Style Standards

• Motion tempo aligned with brand tonality: Tech brands adopt snappy precise movement; fashion brands smooth elegant flow; national trend brands stretch restrained postures

• Motion physics follow Disney animation principles: Anticipation, follow-through & overlap, ease-in/ease-out, arc motion

• Hand gestures pre-confirmed by client to avoid cultural taboos or ambiguous signs

• Consistent emotional tone between facial expressions & body language (e.g. synchronized smile & gesturing during dialogue)

5.4 Delivered Motion File Formats

VI. Engine Integration & Digital Twin Large Screen Application

6.1 Unity Integration Scheme

1. Asset Import Spec: FBX import settings (scale factor, animation compression, Humanoid Rig config)

2. Material & Lighting Adaptation: Convert PBR materials for URP/HDRP pipelines, calibrate lighting for large-screen environments

3. Animation State Machine (Animator):

   • Construct state machine with idle (loop) as default state

   • Configure state transition logic: Scan → Idle → Dialogue → Farewell

   • Animation Blend Tree for smooth cross-fade (transition time: 0.2–0.5s)

   • Control parameters: isSpeaking (bool), waveTrigger (Trigger), lookAroundTrigger (Trigger)

4. Interaction Logic Scripts:

   • Data-driven motion trigger (e.g. scan motion activated on screen data alert; dialogue motion triggered by user click)

   • UGUI/TextMeshPro integration for linked dialogue bubbles & subtitles

5. Performance Optimization:

   • LOD setup for auto low-poly switching at long camera distance

   • Animation LOD to reduce update frequency for distant avatars

   • Texture compression (ASTC/ETC2) for mobile compatibility

6.2 Three.js Integration Scheme

1. Model Loading:

   • GLTFLoader for GLB/GLTF assets with Draco compression decompression

   • Parsing self-contained AnimationClip embedded in model files

2. Animation System:

   • Multi-animation management via AnimationMixer

   • Smooth motion switching via Action.crossFadeFrom()

   • Clip segmentation via AnimationUtils.subclip for custom motion segments

3. Interaction Control:

   • Mouse hover/click detection based on Raycaster

   • Dialogue motion trigger via voice input button

   • Scan motion trigger on page load completion / data refresh events

4. Digital Twin Large Screen Scene Fusion:

   • Avatar placed at bottom-left / bottom-right / central zone with semi-transparent background blending

   • Background blur & tech HUD frame overlay via CSS or texture layers

   • Data chart linkage: Avatar plays scan/dialogue motion synchronously on chart data fluctuation

5. Web Performance Optimization Tactics:

   • Basis Universal texture compression to cut VRAM consumption

   • GPUInstancing to lower Draw Call count

   • Optimize mesh polycount under 20k–30k tris for smooth mobile rendering

   • Three.js LOD module for distance-based mesh precision switching

   • WebGL 2.0 activation, Transform Feedback for pre-processed animation data

6.3 Dedicated Digital Twin Large Screen Integration Plan

1. Data Linkage Mechanism:

   • Standard event interface definition: onDataUpdate, onAlertTrigger, onUserSpeak, onSessionEnd, etc.

   • Event-driven motion switching replacing traditional UI button triggers

   • WebSocket persistent connection for real-time backend data push & avatar feedback drive

2. Large Screen Layout Adaptation:

   • Responsive design supporting resolutions from 1920×1080 to 7680×2160

   • Independent render layer for avatar stacked above chart layers to guarantee render order

   • Transparent background output for overlay compatibility with all screen templates

3. Render Performance Benchmark:

   • Stable 60fps rendering on large screens (GPU ≥ RTX 3060)

   • 30fps steady on mobile Web / 60fps steady on desktop Web

   • Total memory footprint controlled within 1.5GB (texture assets included)

VII. IP Avatar Modeling Application for Promotional Materials

7.1 Static Frame Render Output

• Dedicated lighting rig built in Maya/Blender based on high-poly assets (3-point lighting + ambient light + rim backlight)

• 4K/8K promotional still rendering via Arnold / V-Ray / Cycles renderer

• ≥5 character poses & 3 scene/background portrait sets delivered

• PNG sequence with alpha channel for post compositing

7.2 Dynamic Promotional Video Production

• Render 1080p/4K promotional videos by combining motion animations with scene environments

• Integrate brand Slogan animation & product showcase for complete brand clips

• Green screen / transparent background versions supplied for post-editing compositing

7.3 Multi-Format Asset Derivation

• 2D flat IP graphic asset package (AI vector format) derived from finished 3D model

• Standard orthographic views (front, side, back) + ≥16 common expression emojis

• Full FBX source files provided for partner secondary development (AR filters, H5 interaction, etc.)

VIII. Intelligent AI Upgrade Reserve for 3D Digital Human Modeling

8.1 Reserved Semantic Drive Interfaces

• Standardized Blendshape naming convention aligned with mainstream lip-drive algorithms (Microsoft Mixed Reality / Audio2Face)

• Reserved audio input channel to parse real-time voice stream into viseme drive parameters

• Standard JSON API for third-party NLP system to trigger motion commands (e.g. {"action":"dialogue","emotion":"happy","text":"Hello"})

8.2 Expression & Emotion System

• Base emotion mapping built on FACS framework (joy, solemnity, surprise, thinking, approval, etc.)

• Smooth emotion gradient interpolation via parameter blending (e.g. neutral → happy seamless transition)

• Reserved port for AI sentiment recognition to auto-match avatar emotional state from user semantics in future iterations

IX. Project Milestones & Delivery Schedule

X. Quality Control & Acceptance Criteria

1. Model Precision: Accurate mesh structure, clean topology, stretch-free UVs, seamless texture stitching

2. Rigging Quality: Natural skin deformation without abnormal warping; lifelike facial expressions; intact data after engine import

3. Animation Quality: Smooth, brand-aligned motion rhythm, seamless loop cycles, soft cross-fade transitions

4. Engine Performance: FPS meets cross-platform benchmark, high lighting reproduction accuracy, interaction response latency ≤200ms

5. Delivery Completeness: Full source assets, engine project packages, technical specs, user operation manuals fully supplied

XI. Risk Mitigation Measures

XII. After-Sales Service & Long-Term Technical Support

• Warranty Period: 3 months free bug & model defect repair post-delivery for issues caused by our development

• Animation Library Expansion: Quotation sheet provided for additional motion asset production (walk, run, clap, bow, etc.)

• Engine Version Upgrade Support: Assist asset migration adaptation for client engine version upgrades (fee negotiated based on workload)

• Technical Training: 2 remote/on-site training sessions covering model import, animation state machine setup & interactive development

• Document Delivery: Full technical documentation package (modeling specs, rigging handbook, animation state machine config guide, API interface specs)