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Found 8 papers, 1 papers with code
Linear-time Online Action Detection From 3D Skeletal Data Using Bags of Gesturelets
It identifies the sub-interval with the maximum classifier score in linear time.
Texture Synthesis with Recurrent Variational Auto-Encoder
A novel loss function, FLTBNK, is used for training the texture synthesizer.
Two Stream Self-Supervised Learning for Action Recognition
The self-supervised pre-trained weights effectiveness is validated on the action recognition task.
Neural Rerendering in the Wild
Starting from internet photos of a tourist landmark, we apply traditional 3D reconstruction to register the photos and approximate the scene as a point cloud.
Style-based Encoder Pre-training for Multi-modal Image Synthesis
Then we train a generator to transform an input image along with a style-code to the output domain.
StEP: Style-based Encoder Pre-training for Multi-modal Image Synthesis
Specifically, we pre-train a generic style encoder using a novel proxy task to learn an embedding of images, from arbitrary domains, into a low-dimensional style latent space.
Learned Spatial Representations for Few-shot Talking-Head Synthesis
In contrast, we propose to factorize the representation of a subject into its spatial and style components.
RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis
We present a large-scale synthetic dataset for novel view synthesis consisting of ~300k images rendered from nearly 2000 complex scenes using high-quality ray tracing at high resolution (1600 x 1600 pixels).
Ranked #1 on
Novel View Synthesis
on RTMV
