Spatial fusion gan for image synthesis
Recent advances in generative adversarial networks (GANs) have shown great potentials in
realistic image synthesis whereas most existing works address synthesis realism in either …
realistic image synthesis whereas most existing works address synthesis realism in either …
Visual compositional learning for human-object interaction detection
Human-Object interaction (HOI) detection aims to localize and infer relationships between
human and objects in an image. It is challenging because an enormous number of possible …
human and objects in an image. It is challenging because an enormous number of possible …
Semantic image manipulation using scene graphs
Image manipulation can be considered a special case of image generation where the image
to be produced is a modification of an existing image. Image generation and manipulation …
to be produced is a modification of an existing image. Image generation and manipulation …
Laso: Label-set operations networks for multi-label few-shot learning
Example synthesis is one of the leading methods to tackle the problem of few-shot learning,
where only a small number of samples per class are available. However, current synthesis …
where only a small number of samples per class are available. However, current synthesis …
Adversarial image composition with auxiliary illumination
Dealing with the inconsistency between a foreground object and a background image is a
challenging task in high-fidelity image composition. State-of-the-art methods strive to …
challenging task in high-fidelity image composition. State-of-the-art methods strive to …
Data augmentation for object detection via progressive and selective instance-switching
[PDF][PDF] Towards realistic 3d embedding via view alignment
Recent advances in generative adversarial networks (GANs) have achieved great success
in automated image composition that generates new images by embedding interested …
in automated image composition that generates new images by embedding interested …