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07/11/2023
Efficient 3D Articulated Human Generation with Layered Surface Volumes
Access to high-quality and diverse 3D articulated digital human assets i...
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03/30/2023
AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control
Neural implicit fields are powerful for representing 3D scenes and gener...
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02/18/2023
Invertible Neural Skinning
Building animatable and editable models of clothed humans from raw 3D sc...
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01/26/2023
Unsupervised Volumetric Animation
We propose a novel approach for unsupervised 3D animation of non-rigid d...
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01/06/2023
3DAvatarGAN: Bridging Domains for Personalized Editable Avatars
Modern 3D-GANs synthesize geometry and texture by training on large-scal...
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12/22/2022
DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis
Existing 3D-aware image synthesis approaches mainly focus on generating ...
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12/15/2022
NeRF-Art: Text-Driven Neural Radiance Fields Stylization
As a powerful representation of 3D scenes, the neural radiance field (Ne...
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10/05/2022
Bi-Stride Multi-Scale Graph Neural Network for Mesh-Based Physical Simulation
Learning physical systems on unstructured meshes by flat Graph neural ne...
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07/24/2022
Cross-Modal 3D Shape Generation and Manipulation
Creating and editing the shape and color of 3D objects require tremendou...
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04/01/2022
Quantized GAN for Complex Music Generation from Dance Videos
We present Dance2Music-GAN (D2M-GAN), a novel adversarial multi-modal fr...
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03/31/2022
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis
Recent research explosion on Neural Radiance Field (NeRF) shows the enco...
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01/07/2022
NeROIC: Neural Rendering of Objects from Online Image Collections
We present a novel method to acquire object representations from online ...
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12/09/2021
CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields
We present CLIP-NeRF, a multi-modal 3D object manipulation method for ne...
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09/16/2021
DisUnknown: Distilling Unknown Factors for Disentanglement Learning
Disentangling data into interpretable and independent factors is critica...
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06/14/2021
Flow Guided Transformable Bottleneck Networks for Motion Retargeting
Human motion retargeting aims to transfer the motion of one person in a ...
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04/30/2021
A Good Image Generator Is What You Need for High-Resolution Video Synthesis
Image and video synthesis are closely related areas aiming at generating...
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04/29/2021
Exemplar-Based 3D Portrait Stylization
Exemplar-based portrait stylization is widely attractive and highly desi...
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04/22/2021
Motion Representations for Articulated Animation
We propose novel motion representations for animating articulated object...
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04/22/2021
Cross-Domain and Disentangled Face Manipulation with 3D Guidance
Face image manipulation via three-dimensional guidance has been widely a...
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03/11/2021
Diverse Semantic Image Synthesis via Probability Distribution Modeling
Semantic image synthesis, translating semantic layouts to photo-realisti...
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12/08/2020
Efficient Semantic Image Synthesis via Class-Adaptive Normalization
Spatially-adaptive normalization (SPADE) is remarkably successful recent...
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10/30/2020
MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing
Despite the recent success of face image generation with GANs, condition...
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04/29/2020
Interactive Video Stylization Using Few-Shot Patch-Based Training
In this paper, we present a learning-based method to the keyframe-based ...
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04/28/2020
Neural Hair Rendering
In this paper, we propose a generic neural-based hair rendering pipeline...
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04/07/2020
Human Motion Transfer from Poses in the Wild
In this paper, we tackle the problem of human motion transfer, where we ...
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04/06/2020
Rethinking Spatially-Adaptive Normalization
Spatially-adaptive normalization is remarkably successful recently in co...
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11/26/2019
Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning
Visual aesthetic assessment has been an active research field for decade...
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04/01/2019