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Papers
OmniObject3D
OmniObject3D is a large vocabulary 3D object dataset featuring massive high-quality real-scanned 3D objects that can be used to facilitate the…
Dmytro Spodarets · Feb 19, 2023
Papers
MEGANE: Morphable Eyeglass and Avatar Network
Megane is a 3D compositional morphable model of eyeglasses that incorporates high-fidelity geometric and photometric interaction effects. To support…
Dmytro Spodarets · Feb 14, 2023
Papers
GLIGEN: Open-Set Grounded Text-to-Image Generation
GLIGEN (Grounded-Language-to-Image Generation) is a novel approach that builds upon and extends the functionality of existing pre-trained…
Dmytro Spodarets · Feb 1, 2023
Papers
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
StyleGAN-T addresses the specific requirements of large-scale text-to-image synthesis to significantly improve over previous GANs and outperform…
Dmytro Spodarets · Jan 30, 2023
Papers
HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling
HyperReel is a novel 6-DoF video representation that is unique compared to other approaches in that it both accelerates volume rendering and improves…
Dmytro Spodarets · Jan 27, 2023
Papers
RoDynRF: Robust Dynamic Radiance Fields
In this work, the authors address the robustness issue of dynamic radiance field reconstruction methods by jointly estimating the static and dynamic…
Dmytro Spodarets · Jan 20, 2023
Papers
AgileAvatar: Stylized 3D Avatar Creation via Cascaded Domain Bridging
AgileAvatar is a novel self-supervised learning framework to create high-quality stylized 3D avatars with a mix of continuous and discrete…
Dmytro Spodarets · Jan 17, 2023
Papers
Box2Mask: Box-supervised Instance Segmentation via Level-set Evolution
Box2Mask is a novel single-shot instance segmentation approach, which integrates the classical level-set evolution model into deep neural network…
Dmytro Spodarets · Jan 15, 2023
Papers
Zero-Shot Text-Guided Object Generation with Dream Fields
Dream Fields can generate the geometry and color of a wide range of objects without 3D supervision. It combines neural rendering with multi-modal…
Dmytro Spodarets · Jan 11, 2023
Papers
InstantAvatar: Learning Avatars from Monocular Video in 60 Seconds
InstantAvatar is a system that can reconstruct human avatars from a monocular video within seconds, and these avatars can be animated and rendered at…
Dmytro Spodarets · Jan 6, 2023
Papers
Scalable Diffusion Models with Transformers
In this work, the researchers explore a new class of diffusion models based on the transformer architecture; train latent diffusion models, replacing…
Dmytro Spodarets · Jan 3, 2023
Papers
NeRF-Art: Text-Driven Neural Radiance Fields Stylization
Neural radiance fields (NeRF) enable high-quality novel view synthesis. Editing NeRF, however, remains challenging. In this paper, the authors…
Dmytro Spodarets · Dec 30, 2022