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Found 4 papers, 3 papers with code
CombiNeRF: A Combination of Regularization Techniques for Few-Shot Neural Radiance Field View Synthesis
When dealing with few-shot settings, i. e. with a small set of input views, the training could overfit those views, leading to artifacts and geometric and chromatic inconsistencies in the resulting rendering.
Improving Generalization of Synthetically Trained Sonar Image Descriptors for Underwater Place Recognition
Autonomous navigation in underwater environments presents challenges due to factors such as light absorption and water turbidity, limiting the effectiveness of optical sensors.
Pushing the Limits of Learning-based Traversability Analysis for Autonomous Driving on CPU
Self-driving vehicles and autonomous ground robots require a reliable and accurate method to analyze the traversability of the surrounding environment for safe navigation.
Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks
The proposed approach achieves cutting-edge results without the need of training the models with real annotated data of human body parts.
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