2D-Image Generation TRIZ Cases

Early optical-flow analysis of atomic motion forecasts ligand-protein binding outcomes, helping avoid costly simulation of unstable states.

This case uses differential RF scattering data to reconstruct organ images with simpler hardware for home or outpatient imaging.

Polygon regions create stereoscopic subjects without depth estimation.

A coordinated MAIN and ALT stream carries real images and AR overlays, expanding video calls beyond single-stream limits.

Neural networks convert voice or image inputs into 3D assets, enabling selective part edits while preserving simulation consistency.

Generate changing-view videos faster by inpainting key images and interpolating intermediate frames.

This case unifies 3D detection and tracking with offline bidirectional features for stronger robot perception training and validation.

This case combines environmental context and user history to select AR object type, form, and position in real time.

The system clusters users, creates guest profiles and themed avatars, and pre-fills identity data for faster group transfers.

Generate comparison images in multiple ways to improve machine-generated image recognition beyond binary classification.

The system analyzes user text, builds a category-specific AI model, and assembles personalized videos in real time.

A video encoder, decoder, and dynamics model create interactive virtual worlds from context inputs without ground-truth action labels.

Term rewriting reduces material complexity while preserving visual fidelity in rendering.

A chat interface groups related materials and returns AI-edited results, reducing manual selection and complex editing work.

Process high-volume intracardiac electrograms with annotation histograms to reduce manual review and improve electro-anatomical mapping.

A 360° data basis corrects artifacts and HU fluctuations from partial-angle CT reconstruction while preserving temporal resolution.

This case blends predicted and real-time VTOL deceleration data to reduce sensor-noise effects on hover point prediction.

Probe-based monitoring visualizes underlay connectivity and latency for faster troubleshooting.

Differently oriented transducer arrays create continuous sonar coverage and combine live and downward underwater images.

The case tracks vehicle-side targets and image patterns to place non-obstructive overlays for clearer distance and trailer-angle assessment.

Cameras replace parking tickets while low-resolution image fragments support WAN billing and retain high-resolution evidence locally.

This graphics case interpolates vertex parameters with displacement factors to reduce popping and swimming during level-of-detail changes.

The device combines content from nearby physical elements into composited XR affordances, enabling interaction with manageable complexity.

AR overlays guide device repositioning around obstructions, validating lighting and view criteria before geolocalized images are captured.

This case combines image features with object names, categories, and attributes to automate accurate captions for product imagery.

Serial traversal can freeze crowded virtual scenes; split attribute fields and task threads update objects in parallel.

A scanner-guided image processor adds composition and background information to prompts so generative AI follows user intent.

Partially decompressed media tokens help generative AI models learn synthesis while reducing redundant data and processing complexity.

Keyword extraction and AI image generation turn third-party live information into personalized, dynamic TV screensavers.

A server mediates appearance permissions for message-linked virtual objects, preserving sender authority across VR and AR spaces.

Content feature analysis replaces generic icons with synthetic visuals that reflect relevance, file types, colors, and themes.

Suggested inputs and 2D previews let users refine a 3D environment before full generation, reducing resource-intensive edits.

A beam combiner and eye sensor coordinate glare luminance and position for immersive display control and vision testing.

Voice context highlights relevant responders and prioritizes dispatch video streams.

Embed robust signals in PDF artwork while minimizing visible luminance changes.

A learned model processes image gradation with user-designated areas and light sources, improving speed and consistency.

A neural generator combines edited visual parameters with 3D render images to reduce identity loss and visual artifacts.

Render static and dynamic table data with selectable cell animations for collaborative work.

A cloud server adjusts and returns picture data for selectable effects, improving scene-switching flexibility and rendering completeness.

AI-assisted wallpaper analysis adapts widget position and style, reducing obstruction while preserving scene immersion.

Shaped excitation waveforms enable second-harmonic detection with lower-range microscope hardware.

Use prior CT motion trajectories to avoid iterative estimation, reducing artifacts and improving first-pass reconstruction.

The case merges projection and volumetric angiography to clarify vessel correspondence during interventional planning and navigation.

Primitive grouping splits rendering paths to reduce white-screen delays.

A visual rule editor automates fitted-curve data point selection for integrated circuit model parameter calculations.

A visibility judgment unit adjusts AR image brightness and contrast so drivers can recognize distant or oblique signboards.

ADMM separates diffusion and condition models to improve sampling efficiency.

AI records items by container using photos, video, and QR codes, reducing manual search and improving household inventory retrieval.

An attribute classifier and identity-preserving loss keep gender and ethnicity features stable while adding text-prompt content.

This case adapts quality thresholds across image-correction iterations to reduce artifacts and improve convergence toward global optima.