Project description

The project centers on training machine learning networks to assist artists and game developers in enhancing rendering performance and quality. The team creates a diverse array of photorealistic 3D human characters at film and cinematic quality, rendered using offline path tracers such as Arnold, RenderMan, and Cycles, and adapts them for real-time engines when necessary.

The work encompasses the entire cinematic character pipeline, including sculpting, topology, texturing, and look development of skin, hair, and cloth, as well as facial expressions, grooming, and rigging. The project also engages with emerging rendering standards like MaterialX, OpenPBR, and UE5 Substrate.

The training process covers a broad range of complex scenarios involving advanced shading, lighting, motion, post-processing, upscaling, and antialiasing. Each scenario requires high-quality ground truth data that accurately meets production standards for cinematic CGI and game development.

Artists involved in the project utilize a variety of modern, industry-standard technologies and software. The primary rendering engines include Blender Cycles, Unreal Engine, and custom renderers based on GLTF, USD, and MaterialX data.

Responsibilities

Create photorealistic human characters from scratch and using Character Creator 5 (sculpting, animation-ready topology, UVs, texturing) following a cinematic character art pipeline

Build characters to specific technical descriptions, prioritizing model and material accuracy over stylistic choices

Perform look development in Arnold, RenderMan and Cycles: skin with SSS and translucency, wrinkle maps, cloth and hair shading

Create groomed hair systems (strand/curve-based) and upgrade card-based hair to grooms

Set up facial expressions, blendshapes/morphs, poses and clothing

Adapt existing assets for cinematic quality or real-time performance as the task requires

Export and set up characters with materials across offline renderers and, when needed, Unreal Engine 5

Occasionally adjust skeletons and rigs, retarget animation and mocap data

Skills

Must have

3+ years in a cinematic, film/VFX or high-end character art pipeline

Production experience with offline renderers: Arnold, RenderMan, Cycles

Proven ability to create a photorealistic human from scratch via sculpting (ZBrush or Blender) and polymodeling, with animation-ready topology and facial morphs

Strong look development skills: skin SSS, translucency, wrinkle maps, cloth and hair shading, PBR material composition

Experience with strand-based grooming (XGen, Yeti, Blender hair curves or similar)

Texturing in Substance Painter / Mari, including procedural approaches

Portfolio with photorealistic characters and breakdowns is mandatory: material/shader graphs, topology, UVs, grooms, facial morphs, rigging

Nice to have

Unreal Engine 5: character setup, Groom, Path Tracer, Substrate materials

Game-ready character optimization (LODs, card-based hair, real-time shading)

Reallusion Character Creator (CC5) and/or MetaHuman workflows

Rigging and animation: skeleton edits, UE5 retargeting, mocap and motion matching data

MaterialX and OpenPBR standards

Other

Languages

English: B2 Upper Intermediate

Seniority

Senior

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Apply for Cinematic Character Artist (Photorealistic Characters) in Belgrade

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