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07/13/2023
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models
Personalization has emerged as a prominent aspect within the field of ge...
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06/15/2023
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations
Recent advances in neural reconstruction enable high-quality 3D object r...
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06/08/2023
Background Prompting for Improved Object Depth
Estimating the depth of objects from a single image is a valuable task f...
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06/08/2023
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs
A critical obstacle preventing NeRF models from being deployed broadly i...
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05/28/2023
KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models
Image ad understanding is a crucial task with wide real-world applicatio...
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05/24/2023
LayoutGPT: Compositional Visual Planning and Generation with Large Language Models
Attaining a high degree of user controllability in visual generation oft...
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05/18/2023
Discriminative Diffusion Models as Few-shot Vision and Language Learners
Diffusion models, such as Stable Diffusion, have shown incredible perfor...
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04/13/2023
ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-based Consistency
We present ShapeClipper, a novel method that reconstructs 3D object shap...
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04/12/2023
NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs
StyleGANs are at the forefront of controllable image generation as they ...
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03/28/2023
ASIC: Aligning Sparse in-the-wild Image Collections
We present a method for joint alignment of sparse in-the-wild image coll...
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03/23/2023
DreamBooth3D: Subject-Driven Text-to-3D Generation
We present DreamBooth3D, an approach to personalize text-to-3D generativ...
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03/16/2023
LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding
Humans excel at acquiring knowledge through observation. For example, we...
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02/09/2023
Polynomial Neural Fields for Subband Decomposition and Manipulation
Neural fields have emerged as a new paradigm for representing signals, t...
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01/31/2023
Debiasing Vision-Language Models via Biased Prompts
Machine learning models have been shown to inherit biases from their tra...
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12/19/2022
MetaCLUE: Towards Comprehensive Visual Metaphors Research
Creativity is an indispensable part of human cognition and also an inher...
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12/09/2022
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis
Large-scale diffusion models have achieved state-of-the-art results on t...
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10/28/2022
Subsidiary Prototype Alignment for Universal Domain Adaptation
Universal Domain Adaptation (UniDA) deals with the problem of knowledge ...
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10/19/2022
CPL: Counterfactual Prompt Learning for Vision and Language Models
Prompt tuning is a new few-shot transfer learning technique that only tu...
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08/25/2022
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Large text-to-image models achieved a remarkable leap in the evolution o...
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08/21/2022
Improving GANs for Long-Tailed Data through Group Spectral Regularization
Deep long-tailed learning aims to train useful deep networks on practica...
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08/07/2022
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs
Progress in GANs has enabled the generation of high-resolution photoreal...
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07/27/2022
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation
The prime challenge in unsupervised domain adaptation (DA) is to mitigat...
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06/16/2022
Balancing Discriminability and Transferability for Source-Free Domain Adaptation
Conventional domain adaptation (DA) techniques aim to improve domain tra...
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05/31/2022
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections
Inverse rendering of an object under entirely unknown capture conditions...
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04/21/2022
Planes vs. Chairs: Category-guided 3D shape learning without any 3D cues
We present a novel 3D shape reconstruction method which learns to predic...
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04/06/2022
LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity
In this work, we introduce LEAD, an approach to discover landmarks from ...
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04/05/2022
Non-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation
Available 3D human pose estimation approaches leverage different forms o...
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04/04/2022
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery
Articulation-centric 2D/3D pose supervision forms the core training obje...
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03/29/2022
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation
The advances in monocular 3D human pose estimation are dominated by supe...
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02/09/2022
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation
Open compound domain adaptation (OCDA) has emerged as a practical adapta...
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10/27/2021
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition
Decomposing a scene into its shape, reflectance and illumination is a fu...
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09/02/2021
SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting
Single image 3D photography enables viewers to view a still image from n...
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08/25/2021
Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation
Unsupervised domain adaptation (DA) has gained substantial interest in s...
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06/10/2021
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold
Single image pose estimation is a fundamental problem in many vision and...
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05/06/2021
LASR: Learning Articulated Shape Reconstruction from a Monocular Video
Remarkable progress has been made in 3D reconstruction of rigid structur...
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04/29/2021
AutoFlow: Learning a Better Training Set for Optical Flow
Synthetic datasets play a critical role in pre-training CNN models for o...
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04/05/2021
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation
Prototype learning is extensively used for few-shot segmentation. Typica...
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03/04/2021
There and back again: Cycle consistency across sets for isolating factors of variation
Representational learning hinges on the task of unraveling the set of un...
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12/17/2020
Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image
We introduce the problem of perpetual view generation – long-range gener...
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12/07/2020
NeRD: Neural Reflectance Decomposition from Image Collections
Decomposing a scene into its shape, reflectance, and illumination is a c...
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08/25/2020
Improving Deep Stereo Network Generalization with Geometric Priors
End-to-end deep learning methods have advanced stereo vision in recent y...
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08/20/2020
Generative View Synthesis: From Single-view Semantics to Novel-view Images
Content creation, central to applications such as virtual reality, can b...
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08/20/2020
DeepGMR: Learning Latent Gaussian Mixture Models for Registration
Point cloud registration is a fundamental problem in 3D computer vision,...
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08/04/2020
Appearance Consensus Driven Self-Supervised Human Mesh Recovery
We present a self-supervised human mesh recovery framework to infer huma...
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06/29/2020
Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition
Neural rendering techniques promise efficient photo-realistic image synt...
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05/05/2020
From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks
Reconstructing 3D models from 2D images is one of the fundamental proble...
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04/09/2020
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
Camera captured human pose is an outcome of several sources of variation...
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04/03/2020
Self-Supervised Viewpoint Learning From Image Collections
Training deep neural networks to estimate the viewpoint of objects requi...
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04/01/2020
Two-shot Spatially-varying BRDF and Shape Estimation
Capturing the shape and spatially-varying appearance (SVBRDF) of an obje...
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03/13/2020