Adobe is adding AI-powered features to its Project Indigo camera app, including photo critique using large language models, advanced object removal, depth of field generation, and style transfer. The app offers descriptive AI feedback on framing, lighting, and colors, plus preset toggles for removing common elements like people, wires, and vehicles from images. These experimental features are available only to select users and may never reach a broader audience, but Adobe positions them as tools to teach photography principles rather than simply automate editing.
ZooData is a platform that helps teams organize and manage datasets specifically for training computer-vision models. The company positions itself as a data layer for AI agents, focusing on dataset organization and preparation workflows. This addresses the operational challenge of preparing large-scale image datasets for machine learning model development.
Researchers introduced RayRoPE, a positional encoding method for multi-view transformers that represents patch positions using predicted 3D points along camera rays rather than ray directions. The method achieves 15% relative improvement on LPIPS metrics in the CO3D dataset for novel-view synthesis compared to alternative position encoding schemes. RayRoPE enables geometry-aware attention that maintains SE(3) invariance and can incorporate RGB-D inputs, improving performance on multi-view 3D reconstruction tasks.
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