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03/30/2023
Consistent View Synthesis with Pose-Guided Diffusion Models
Novel view synthesis from a single image has been a cornerstone problem ...
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01/05/2023
Robust Dynamic Radiance Fields
Dynamic radiance field reconstruction methods aim to model the time-vary...
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08/26/2022
Adaptively-Realistic Image Generation from Stroke and Sketch with Diffusion Model
Generating images from hand-drawings is a crucial and fundamental task i...
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07/27/2022
Vector Quantized Image-to-Image Translation
Current image-to-image translation methods formulate the task with condi...
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05/27/2021
Stylizing 3D Scene via Implicit Representation and HyperNetwork
In this work, we aim to address the 3D scene stylization problem - gener...
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08/24/2020
Semantic View Synthesis
We tackle a new problem of semantic view synthesis – generating free-vie...
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08/11/2020
Text as Neural Operator: Image Manipulation by Text Instruction
In this paper, we study a new task that allows users to edit an input im...
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04/13/2020
Regularizing Meta-Learning via Gradient Dropout
With the growing attention on learning-to-learn new tasks using only a f...
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01/23/2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation
Few-shot classification aims to recognize novel categories with only few...
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10/24/2019
Progressive Domain Adaptation for Object Detection
Recent deep learning methods for object detection rely on a large amount...
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05/14/2019
Self-supervised Audio Spatialization with Correspondence Classifier
Spatial audio is an essential medium to audiences for 3D visual and audi...
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05/13/2019
Few-Shot Viewpoint Estimation
Viewpoint estimation for known categories of objects has been improved s...
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05/02/2019
DRIT++: Diverse Image-to-Image Translation via Disentangled Representations
Image-to-image translation aims to learn the mapping between two visual ...
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03/13/2019
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
Most conditional generation tasks expect diverse outputs given a single ...
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08/02/2018