Human age, as an important personal trait, can be directly inferred by distinct patterns
emerging from the facial appearance. Derived from rapid advances in computer graphics …

In this paper, we survey the techniques for image-based rendering. Unlike traditional 3D
computer graphics in which 3D geometry of the scene is known, image-based rendering …

Recent neural view synthesis methods have achieved impressive quality and realism,
surpassing classical pipelines which rely on multi-view reconstruction. State-of-the-Art …

Neural rendering has received tremendous attention since the advent of Neural Radiance
Fields (NeRF), and has pushed the state-of-the-art on novel-view synthesis considerably …

Several recent works have shown how highly realistic human head images can be obtained
by training convolutional neural networks to generate them. In order to create a personalized …

We present a method for novel view synthesis from input images that are freely distributed
around a scene. Our method does not rely on a regular arrangement of input views, can …

Perception and being active (having a certain level of motion freedom) are closely tied.
Learning active perception and sensorimotor control in the physical world is cumbersome as …

We present a new point-based approach for modeling the appearance of real scenes. The
approach uses a raw point cloud as the geometric representation of a scene, and augments …

We present an unsupervised learning framework for the task of dense 3D geometry and
camera motion estimation from unstructured video sequences. In common with recent work …

Realistic image manipulation is challenging because it requires modifying the image
appearance in a user-controlled way, while preserving the realism of the result. Unless the …