Case Study: Skechers
Case Study: Skechers
Case Study: Skechers
Project Type: Creative Experiment
Project Type: Creative Experiment
Project Type: Creative Experiment
Time: Oct 2025
Time: Oct 2025
Time: Oct 2025
A generative AI campaign reimagining a more cinematic and cohesive visual identity for Skechers.
A generative AI campaign reimagining a more cinematic and cohesive visual identity for Skechers.
A generative AI campaign reimagining a more cinematic and cohesive visual identity for Skechers.
A speculative case study exploring how a single product image can be expanded into a cohesive, high-production visual campaign using generative AI. The project investigates generative workflows as a tool for cinematic product storytelling and scalable brand image systems.
Recent AI-driven product advertisements in the footwear space often rely on novelty over direction, resulting in inconsistent lighting, weak composition, and fragmented brand identity. This study reimagines how generative AI can be used with stronger art direction and visual coherence. The goal is to develop a controlled, cinematic image system from a single shoe reference while maintaining product accuracy and brand integrity.
A speculative case study exploring how a single product image can be expanded into a cohesive, high-production visual campaign using generative AI. The project investigates generative workflows as a tool for cinematic product storytelling and scalable brand image systems.
Recent AI-driven product advertisements in the footwear space often rely on novelty over direction, resulting in inconsistent lighting, weak composition, and fragmented brand identity. This study reimagines how generative AI can be used with stronger art direction and visual coherence. The goal is to develop a controlled, cinematic image system from a single shoe reference while maintaining product accuracy and brand integrity.
A speculative case study exploring how a single product image can be expanded into a cohesive, high-production visual campaign using generative AI. The project investigates generative workflows as a tool for cinematic product storytelling and scalable brand image systems.
Recent AI-driven product advertisements in the footwear space often rely on novelty over direction, resulting in inconsistent lighting, weak composition, and fragmented brand identity. This study reimagines how generative AI can be used with stronger art direction and visual coherence. The goal is to develop a controlled, cinematic image system from a single shoe reference while maintaining product accuracy and brand integrity.
Visual Direction 01 - Lightness
Visual Direction 01
- Lightness
Visual Direction 01 - Lightness
Visual Direction 02 - Agility
Visual Direction 02 - Agility
Visual Direction 02 - Agility
Approach
Approach
Approach
Developed a generative workflow extending a single source image into various environments including performance arenas, cloudscapes, laboratory settings, and stylized product scenes. Focused on maintaining lighting logic, surface detail, and consistent visual tone across outputs.
Developed a generative workflow extending a single source image into various environments including performance arenas, cloudscapes, laboratory settings, and stylized product scenes. Focused on maintaining lighting logic, surface detail, and consistent visual tone across outputs.
Developed a generative workflow extending a single source image into various environments including performance arenas, cloudscapes, laboratory settings, and stylized product scenes. Focused on maintaining lighting logic, surface detail, and consistent visual tone across outputs.
Execution
Execution
Execution
Produced high resolution photorealistic visuals with CG level lighting, atmospheric effects, and dynamic composition. Refined color grading and material rendering to ensure cohesion across all campaign scenarios.
Tools Used: ChatGPT (prompt refining), Nano Banana (image generation), Hailuo (video generation), Photoshop (image editing).
Produced high resolution photorealistic visuals with CG level lighting, atmospheric effects, and dynamic composition. Refined color grading and material rendering to ensure cohesion across all campaign scenarios.
Tools Used: ChatGPT (prompt refining), Nano Banana (image generation), Hailuo (video generation), Photoshop (image editing).
Produced high resolution photorealistic visuals with CG level lighting, atmospheric effects, and dynamic composition. Refined color grading and material rendering to ensure cohesion across all campaign scenarios.
Tools Used: ChatGPT (prompt refining), Nano Banana (image generation), Hailuo (video generation), Photoshop (image editing).
Outcome
Outcome
Outcome
Demonstrates how generative AI can function as a scalable creative production system, bridging product photography, CG visualization, and campaign storytelling from minimal source material.
Demonstrates how generative AI can function as a scalable creative production system, bridging product photography, CG visualization, and campaign storytelling from minimal source material.
Demonstrates how generative AI can function as a scalable creative production system, bridging product photography, CG visualization, and campaign storytelling from minimal source material.
MORE WORKS
MORE WORKS