Microsoft Research: Advancements in Graphics and Multimedia

Graphics and Multimedia Research at Microsoft

This page showcases a collection of research videos, publications, and projects from Microsoft Research, focusing on the domain of Graphics and Multimedia. The content spans various sub-fields, including artificial intelligence, computer vision, audio, human-computer interaction, and more.

Key Research Areas and Topics:

• Artificial Intelligence & Machine Learning: Deep learning, generalization, adaptation, few-shot learning, zero-shot learning, interpretability, common sense reasoning, and multimodal transformers.
• Computer Vision: Visual learning, reasoning, image generation, video generation, and fine-grained motion embedding.
• Graphics & Multimedia: Landscape animation, graphic design layout representation, image and text generation, and diverse caption generation.
• Audio & Acoustics: Research in audio processing and its applications.
• Human-Computer Interaction: Studies on how humans interact with technology.
• Human Language Technologies: Advancements in understanding and processing human language.
• Search & Information Retrieval: Improving search and information access.
• Systems & Networking: Research in underlying systems and network technologies.
• Security, Privacy & Cryptography: Ensuring the security and privacy of data and systems.
• Theory: Foundational research in algorithms and mathematics.
• Other Sciences: Applications of research in ecology, environment, economics, medical, health, genomics, and social sciences.

Featured Content:

• Videos: A series of research talks and keynotes covering topics like generalization and adaptation in deep learning, learning for interpretability, content creation at scale for gaming and entertainment, and learning from observation for common sense reasoning in robots. Specific videos include:
  • "Research talks: Generalization and adaptation"
  • "Research talks: Learning for interpretability"
  • "Lightning talks: Gaming and Entertainment: Content creation at scale"
  • "Keynote: Learning from observation: Small-data approach to human common sense"
  • "Research talks: Few-shot and zero-shot visual learning and reasoning"
• Publications: Several publications are highlighted, including:
  • "Learning Fine-Grained Motion Embedding for Landscape Animation"
  • "CanvasEmb: Learning Layout Representation with Large-scale Pre-training for Graphic Design"
  • "Unifying multimodal transformer for bi-directional image and text generation"
  • "A Picture is Worth a Thousand Words: A Unified System for Diverse Captions and Rich Images Generation"
• Code & Data: The "MeshGraphormer" research code for ICCV 2021 is available on GitHub.

Navigation and Filtering:

The page provides options to filter results by content type (Publications, Videos, Projects, Blog, Tools, Events, Groups, Career Opportunities), People (authors), Labs (Redmond, Asia, Cambridge, India, etc.), and Published Date.

Social Media and Engagement:

Links are provided to follow Microsoft Research on various social media platforms including X, Facebook, LinkedIn, YouTube, and Instagram. Options to share the page via these platforms are also available.

Image:

A prominent image at the top of the content section depicts "Graphics and multimedia" with abstract shapes and a gradient background.

Key Takeaways:

Microsoft Research is actively involved in cutting-edge research across a wide spectrum of graphics and multimedia topics, with a strong emphasis on AI and machine learning. The content presented highlights advancements in visual learning, generative models, and human-centric AI applications.