1 citations · 1 across the 5 of their papers we have counts for
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WorldGen: From Text to Traversable and Interactive 3D Worlds
Dilin Wang, Hyunyoung Jung, Tom Monnier +22
We introduce WorldGen, a system that enables the automatic creation of large-scale, interactive 3D worlds directly from text prompts. Our approach transforms natural language descr…
InteractAvatar: Modeling Hand-Face Interaction in Photorealistic Avatars with Deformable Gaussians
Kefan Chen, Sergiu Oprea, Justin Theiss +3
With the rising interest from the community in digital avatars coupled with the importance of expressions and gestures in communication, modeling natural avatar behavior remains an…
Decorum: A Language-Based Approach For Style-Conditioned Synthesis of Indoor 3D Scenes
Kelly O. Marshall, Omid Poursaeed, Sergiu Oprea +5
3D indoor scene generation is an important problem for the design of digital and real-world environments. To automate this process, a scene generation model should be able to not o…
UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D Environments
Pablo Martinez-Gonzalez, Sergiu Oprea, John Alejandro Castro-Vargas +4
Synthetic data generation has become essential in last years for feeding data-driven algorithms, which surpassed traditional techniques performance in almost every computer vision…
H-GAN: the power of GANs in your Hands
Sergiu Oprea, Giorgos Karvounas, Pablo Martinez-Gonzalez +7
We present HandGAN (H-GAN), a cycle-consistent adversarial learning approach implementing multi-scale perceptual discriminators. It is designed to translate synthetic images of han…
A Review on Deep Learning Techniques for Video Prediction
Sergiu Oprea, Pablo Martinez-Gonzalez, Alberto Garcia-Garcia +4
The ability to predict, anticipate and reason about future outcomes is a key component of intelligent decision-making systems. In light of the success of deep learning in computer…