Search Results for author:
Found 7 papers, 6 papers with code
StructureFlow: Image Inpainting via Structure-aware Appearance Flow
Image inpainting techniques have shown significant improvements by using deep neural networks recently.
Deep Image Spatial Transformation for Person Image Generation
Finally, we warp the source features using a content-aware sampling method with the obtained local attention coefficients.
Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation
We show that our framework can spatially transform the inputs in an efficient manner.
Combining Attention with Flow for Person Image Synthesis
Pose-guided person image synthesis aims to synthesize person images by transforming reference images into target poses.
PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering
The proposed model can generate photo-realistic portrait images with accurate movements according to intuitive modifications.
Neural Texture Extraction and Distribution for Controllable Person Image Synthesis
Our model is trained to predict human images in arbitrary poses, which encourages it to extract disentangled and expressive neural textures representing the appearance of different semantic entities.
Deep Geometry Post-Processing for Decompressed Point Clouds
Point cloud compression plays a crucial role in reducing the huge cost of data storage and transmission.
