research
∙
08/17/2023
Watch Your Steps: Local Image and Scene Editing by Text Instructions
Denoising diffusion models have enabled high-quality image generation an...
share
research
∙
04/19/2023
Reference-guided Controllable Inpainting of Neural Radiance Fields
The popularity of Neural Radiance Fields (NeRFs) for view synthesis has ...
research
∙
11/22/2022
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields
Neural Radiance Fields (NeRFs) have emerged as a popular approach for no...
research
∙
12/10/2021
Representing 3D Shapes with Probabilistic Directed Distance Fields
Differentiable rendering is an essential operation in modern vision, all...
research
∙
11/04/2021
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks
Modern generative adversarial networks (GANs) predominantly use piecewis...
research
∙
10/27/2021
Towards Robust Bisimulation Metric Learning
Learned representations in deep reinforcement learning (DRL) have to ext...
research
∙
02/27/2021
Disentangling Geometric Deformation Spaces in Generative Latent Shape Models
A complete representation of 3D objects requires characterizing the spac...
research
∙
11/16/2020
Cycle-Consistent Generative Rendering for 2D-3D Modality Translation
For humans, visual understanding is inherently generative: given a 3D sh...
research
∙
08/18/2019
Geometric Disentanglement for Generative Latent Shape Models
Representing 3D shape is a fundamental problem in artificial intelligenc...
research
∙
09/05/2018
Latent Molecular Optimization for Targeted Therapeutic Design
We devise an approach for targeted molecular design, a problem of intere...
research
∙
11/08/2017
