Image Outpainting
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Benchmarks
Most implemented
Taming Transformers for High-Resolution Image Synthesis
MaskGIT: Masked Generative Image Transformer
Image Outpainting and Harmonization using Generative Adversarial Networks
Wide-Context Semantic Image Extrapolation
Painting Outside the Box: Image Outpainting with GANs
Papers
High-Resolution Artwork Outpainting with Global Blueprint Guidance and Layout Control
Image outpainting extends an image beyond its original borders, requiring seamless style integration and globally coherent scene completion. Building on the success of diffusion models, recent methods have achieved subst…
Image OutpaintingEmoSpace: Fine-Grained Emotion Prototype Learning for Immersive Affective Content Generation
Emotion is important for creating compelling virtual reality (VR) content. Although some generative methods have been applied to lower the barrier to creating emotionally rich content, they fail to capture the nuanced em…
Image OutpaintingGlobalPaint: Spatiotemporal Coherent Video Outpainting with Global Feature Guidance
Video outpainting extends a video beyond its original boundaries by synthesizing missing border content. Compared with image outpainting, it requires not only per-frame spatial plausibility but also long-range temporal c…
Image OutpaintingImage InpaintingPanoGen++: Domain-Adapted Text-Guided Panoramic Environment Generation for Vision-and-Language Navigation
Vision-and-language navigation (VLN) tasks require agents to navigate three-dimensional environments guided by natural language instructions, offering substantial potential for diverse applications. However, the scarcity…
Image InpaintingImage OutpaintingNavigateVision and Language NavigationUnboxed: Geometrically and Temporally Consistent Video Outpainting
Extending the field of view of video content beyond its original version has many applications: immersive viewing experience with VR devices, reformatting 4:3 legacy content to today's viewing conditions with wide sc…
DenoisingImage OutpaintingBeyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning
In partially observable multi-agent systems, agents typically only have access to local observations. This severely hinders their ability to make precise decisions, particularly during decentralized execution. To allevia…
Image OutpaintingMulti-agent Reinforcement Learningreinforcement-learningReinforcement Learning