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07/06/2023
Synthesizing Artistic Cinemagraphs from Text
We introduce Text2Cinemagraph, a fully automated method for creating cin...
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03/02/2023
3D generation on ImageNet
Existing 3D-from-2D generators are typically designed for well-curated s...
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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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12/12/2022
ScanEnts3D: Exploiting Phrase-to-3D-Object Correspondences for Improved Visio-Linguistic Models in 3D Scenes
The two popular datasets ScanRefer [16] and ReferIt3D [3] connect natura...
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12/08/2022
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation
In this work, we present a novel framework built to simplify 3D asset ge...
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11/23/2022
Make-A-Story: Visual Memory Conditioned Consistent Story Generation
There has been a recent explosion of impressive generative models that c...
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10/08/2022
Learning Fine-Grained Visual Understanding for Video Question Answering via Decoupling Spatial-Temporal Modeling
While recent large-scale video-language pre-training made great progress...
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10/05/2022
Coarse-to-Fine Point Cloud Registration with SE(3)-Equivariant Representations
Point cloud registration is a crucial problem in computer vision and rob...
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09/27/2022
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection
To achieve accurate 3D object detection at a low cost for autonomous dri...
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09/19/2022
CFVS: Coarse-to-Fine Visual Servoing for 6-DoF Object-Agnostic Peg-In-Hole Assembly
Robotic peg-in-hole assembly remains a challenging task due to its high ...
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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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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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03/04/2022
Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning
Most methods for conditional video synthesis use a single modality as th...
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02/14/2022
ADeADA: Adaptive Density-aware Active Domain Adaptation for Semantic Segmentation
In the field of domain adaptation, a trade-off exists between the model ...
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11/02/2021
StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN
Recently, StyleGAN has enabled various image manipulation and editing ta...
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07/25/2021
ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation
Despite the success of deep learning on supervised point cloud semantic ...
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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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05/19/2020
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning
In recent years, few-shot learning problems have received a lot of atten...
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03/11/2020
xCos: An Explainable Cosine Metric for Face Verification Task
We study the XAI (explainable AI) on the face recognition task, particul...
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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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12/19/2019
Neural Design Network: Graphic Layout Generation with Constraints
Graphic design is essential for visual communication with layouts being ...
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11/05/2019
Dancing to Music
Dancing to music is an instinctive move by humans. Learning to model the...
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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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05/02/2019
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
Diverse Image-to-Image Translation via Disentangled Representations
Image-to-image translation aims to learn the mapping between two visual ...
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08/03/2017
Unsupervised Representation Learning by Sorting Sequences
We present an unsupervised representation learning approach using videos...
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06/05/2017
