Qualcomm VP on Image Gen Bottlenecks: Separating Scene Planning from Rendering
TWIML AI Podcast · rss · 2026-08-13
In a recent TWIML AI Podcast, Fatih Porikli, VP of Technology at Qualcomm, discussed the unsolved challenges in text-to-image models. He noted that while realism has improved, models still struggle with specific compositions and high-resolution on-device generation.
At CVPR, his team presented several new approaches:
- Architectural Separation: Separating scene planning from rendering to improve controllability.
- On-Device Efficiency: Techniques for efficiently generating 16-megapixel images on edge devices.
- Artifact Elimination: Using reinforcement learning and agentic pipelines to optimize training objectives and eliminate visible editing artifacts.
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