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Found 8 papers, 2 papers with code
Neural Dense Non-Rigid Structure from Motion with Latent Space Constraints
We introduce the first dense neural non-rigid structure from motion (N-NRSfM) approach, which can be trained end-to-end in an unsupervised manner from 2D point tracks.
Virtual Elastic Objects
We present Virtual Elastic Objects (VEOs): virtual objects that not only look like their real-world counterparts but also behave like them, even when subject to novel interactions.
Advances in Neural Rendering
The reconstruction of such a scene representation from observations using differentiable rendering losses is known as inverse graphics or inverse rendering.
Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video
We show that a single handheld consumer-grade camera is sufficient to synthesize sophisticated renderings of a dynamic scene from novel virtual camera views, e. g. a `bullet-time' video effect.
PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations
At the level of patches, objects across different categories share similarities, which leads to more generalizable models.
DispVoxNets: Non-Rigid Point Set Alignment with Supervised Learning Proxies
We introduce a supervised-learning framework for non-rigid point set alignment of a new kind - Displacements on Voxels Networks (DispVoxNets) - which abstracts away from the point set representation and regresses 3D displacement fields on regularly sampled proxy 3D voxel grids.
DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects
Mesh autoencoders are commonly used for dimensionality reduction, sampling and mesh modeling.
Sequential Attacks on Agents for Long-Term Adversarial Goals
As a result of our attack, the victim agent is misguided to optimise for the adversarial reward over time.
