Results for “visual-changenet”

Migrates .NET test projects from VSTest to Microsoft.Testing.Platform (MTP), updating project files, CLI arguments, and CI/CD pipelines for MSTest, NUnit, and xUnit.net.

Wire UI controls to ViewModel properties with compile-time safety, change notification, and minimal overhead using .NET MAUI data bindings.

ImageNet: A Large-Scale Hierarchical Image Database

Migrates .NET test projects from xUnit.net v2 to xUnit.net v3, updating package references, project files, and code to compile and pass tests.

Transform text plans into interactive visual documents with diagrams, code snippets, and review surfaces for coding agents.

Build .NET MVVM ViewModels with CommunityToolkit.Mvvm source generators, base classes, and commands for WPF, WinUI, MAUI, Uno, and Avalonia.

Optimizes hot-path scalar loops in .NET 8+ with cross-platform Vector128/Vector256/Vector512 SIMD intrinsics, or replaces manual math loops with single TensorPrimitives API calls.

Enables decoupled pub/sub messaging between ViewModels using CommunityToolkit.Mvvm Messenger, covering weak/strong references, request/reply patterns, channel tokens, and lifecycle management.

Add smooth, native-feeling page transitions and animations to React apps using the browser's View Transition API, with support for shared elements, enter/exit animations, and directional navigation.

Builds an interactive in-browser studio for tuning visual parameters (sliders, pickers, drag handles) or editing/annotating text and media, enabling real-time human-in-the-loop refinement instead of static comparisons or chat-based feedback.

Realize every typed [VISUAL:...] placeholder in the cited draft into an actual asset — Playwright screenshots of brand UI, Replicate-generated images (GPT Image 2 default, Nano Banana backup), matplotlib charts. Manual-capture flag for video/external/gif/adult-image. Updates the draft to reference local image paths.

CogVLM: Visual Expert for Pretrained Language Models

Masked Autoencoders Are Scalable Vision Learners

当需要为特定挑战或目标进行心态和角色转换时

Improved Baselines with Visual Instruction Tuning

当个体在数字环境中困惑于自身角色（消费vs创造），或认为吸引注意力不道德时

ImageNet-21K Pretraining for the Masses

Control the Unreal Editor level viewport — camera type/position, view mode, FOV, exposure, layout, and rendering settings (ViewportService). Use when the user asks to move the editor camera, change the view mode (Lit/Unlit/Wireframe), set FOV/exposure, switch viewport layout, or frame the level for a screenshot.

Build a visual sequence that proves, explains, and supports decisions.

Migrate .NET test projects from xUnit.net (v2 or v3) to MSTest v4, converting attributes, assertions, fixtures, and project configuration.

Migrate .NET projects from per-project package versioning to NuGet Central Package Management (CPM) using Directory.Packages.props, with baseline build capture, version conflict resolution, and post-conversion validation.

Structured visual QA verdict for screenshot-to-reference comparisons

Write changelogs and release notes that users actually read, with guidance on categorization, user-facing language, visuals, and distribution.

LongVA: Long Context Transfer from Language to Vision

SVIT: Scaling up Visual Instruction Tuning