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Recent advances in implicit representation-based 3d shape generation
Various techniques have been developed and introduced to address the pressing need to
create three-dimensional (3D) content for advanced applications such as virtual reality and …
create three-dimensional (3D) content for advanced applications such as virtual reality and …
Understanding GANs: Fundamentals, variants, training challenges, applications, and open problems
Generative adversarial networks (GANs), a novel framework for training generative models
in an adversarial setup, have attracted significant attention in recent years. The two …
in an adversarial setup, have attracted significant attention in recent years. The two …
Cc3d: Layout-conditioned generation of compositional 3d scenes
In this work, we introduce CC3D, a conditional generative model that synthesizes complex
3D scenes conditioned on 2D semantic scene layouts, trained using single-view images …
3D scenes conditioned on 2D semantic scene layouts, trained using single-view images …
Vd3d: Taming large video diffusion transformers for 3d camera control
S Bahmani, I Skorokhodov, A Siarohin… - ar** and evaluating ekyc systems
The reliability of remote identity-proofing systems (ie, electronic Know Your Customer, or
eKYC, systems) is challenged by the development of deepfake generation tools, which can …
eKYC, systems) is challenged by the development of deepfake generation tools, which can …
VOODOO 3D: volumetric portrait disentanglement for one-shot 3d head reenactment
We present a 3D-aware one-shot head reenactment method based on a fully volumetric
neural disentanglement framework for source appearance and driver expressions. Our …
neural disentanglement framework for source appearance and driver expressions. Our …