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06/05/2023
User-friendly Image Editing with Minimal Text Input: Leveraging Captioning and Injection Techniques
Recent text-driven image editing in diffusion models has shown remarkabl...
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05/30/2023
DäRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation
Neural radiance fields (NeRF) shows powerful performance in novel view s...
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05/30/2023
DiffMatch: Diffusion Model for Dense Matching
The objective for establishing dense correspondence between paired image...
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05/23/2023
Large Language Models are Frame-level Directors for Zero-shot Text-to-Video Generation
In the paradigm of AI-generated content (AIGC), there has been increasin...
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04/11/2023
Panoramic Image-to-Image Translation
In this paper, we tackle the challenging task of Panoramic Image-to-Imag...
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04/04/2023
PartMix: Regularization Strategy to Learn Part Discovery for Visible-Infrared Person Re-identification
Modern data augmentation using a mixture-based technique can regularize ...
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03/27/2023
Debiasing Scores and Prompts of 2D Diffusion for Robust Text-to-3D Generation
The view inconsistency problem in score-distilling text-to-3D generation...
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03/21/2023
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation
Existing works on open-vocabulary semantic segmentation have utilized la...
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03/21/2023
ExtremeNeRF: Few-shot Neural Radiance Fields Under Unconstrained Illumination
In this paper, we propose a new challenge that synthesizes a novel view ...
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03/14/2023
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
Text-to-3D generation has shown rapid progress in recent days with the a...
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01/26/2023
GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency
We present a novel framework to regularize Neural Radiance Field (NeRF) ...
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01/06/2023
You Truly Understand What I Need: Intellectual and Friendly Dialogue Agents grounding Knowledge and Persona
To build a conversational agent that interacts fluently with humans, pre...
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12/27/2022
DiffFace: Diffusion-based Face Swapping with Facial Guidance
In this paper, we propose a diffusion-based face swapping framework for ...
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12/21/2022
Semi-Supervised Learning of Monocular Depth Estimation via Consistency Regularization with K-way Disjoint Masking
Semi-Supervised Learning (SSL) has recently accomplished successful achi...
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12/17/2022
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models
In recent years, generative models have undergone significant advancemen...
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11/20/2022
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels
Annotating the dataset with high-quality labels is crucial for performan...
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10/14/2022
Controllable Style Transfer via Test-time Training of Implicit Neural Representation
We propose a controllable style transfer framework based on Implicit Neu...
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10/13/2022
3D GAN Inversion with Pose Optimization
With the recent advances in NeRF-based 3D aware GANs quality, projecting...
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10/06/2022
Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence
Existing pipelines of semantic correspondence commonly include extractin...
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10/04/2022
Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling
There are two de facto standard architectures in recent computer vision:...
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10/03/2022
Improving Sample Quality of Diffusion Models Using Self-Attention Guidance
Following generative adversarial networks (GANs), a de facto standard mo...
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09/22/2022
MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation
We present a novel method for exemplar-based image translation, called m...
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09/19/2022
Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence
We present a novel architecture for dense correspondence. The current st...
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08/18/2022
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization
We present a novel semi-supervised learning framework that intelligently...
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07/22/2022
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
This paper presents a novel cost aggregation network, called Volumetric ...
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04/28/2022
AE-NeRF: Auto-Encoding Neural Radiance Fields for 3D-Aware Object Manipulation
We propose a novel framework for 3D-aware object manipulation, called Au...
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04/05/2022
Joint Learning of Feature Extraction and Cost Aggregation for Semantic Correspondence
Establishing dense correspondences across semantically similar images is...
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03/30/2022
InstaFormer: Instance-Aware Image-to-Image Translation with Transformer
We present a novel Transformer-based network architecture for instance-a...
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03/30/2022
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels
Establishing dense correspondences across semantically similar images re...
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03/18/2022
Semi-Supervised Learning with Mutual Distillation for Monocular Depth Estimation
We propose a semi-supervised learning framework for monocular depth esti...
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02/14/2022
CATs++: Boosting Cost Aggregation with Convolutions and Transformers
Cost aggregation is a highly important process in image matching tasks, ...
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01/25/2022
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning
Semi-supervised learning (SSL) has recently proven to be an effective pa...
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01/06/2022
Memory-guided Image De-raining Using Time-Lapse Data
This paper addresses the problem of single image de-raining, that is, th...
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12/22/2021
Cost Aggregation Is All You Need for Few-Shot Segmentation
We introduce a novel cost aggregation network, dubbed Volumetric Aggrega...
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12/16/2021
Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge
Humans usually have conversations by making use of prior knowledge about...
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12/12/2021
Deep Translation Prior: Test-time Training for Photorealistic Style Transfer
Recent techniques to solve photorealistic style transfer within deep con...
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11/21/2021
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning
Recently, self-supervised methods show remarkable achievements in image-...
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08/17/2021
MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation
Successful sequential recommendation systems rely on accurately capturin...
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08/10/2021
Learning Canonical 3D Object Representation for Fine-Grained Recognition
We propose a novel framework for fine-grained object recognition that le...
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06/06/2021
Deep Matching Prior: Test-Time Optimization for Dense Correspondence
Conventional techniques to establish dense correspondences across visual...
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06/04/2021
Semantic Correspondence with Transformers
We propose a novel cost aggregation network, called Cost Aggregation wit...
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03/29/2021
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening
Enhancing the generalization capability of deep neural networks to unsee...
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01/02/2021
On the confidence of stereo matching in a deep-learning era: a quantitative evaluation
Stereo matching is one of the most popular techniques to estimate dense ...
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12/15/2020
Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation
Existing techniques to adapt semantic segmentation networks across the s...
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11/18/2020
Online Exemplar Fine-Tuning for Image-to-Image Translation
Existing techniques to solve exemplar-based image-to-image translation w...
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09/27/2020
Adaptive confidence thresholding for semi-supervised monocular depth estimation
Self-supervised monocular depth estimation has become an appealing solut...
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07/18/2020
Volumetric Transformer Networks
Existing techniques to encode spatial invariance within deep convolution...
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03/25/2020
Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation
Existing techniques to encode spatial invariance within deep convolution...
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10/02/2019
Joint Learning of Semantic Alignment and Object Landmark Detection
Convolutional neural networks (CNNs) based approaches for semantic align...
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08/16/2019