Yujun Shen

Orcid: 0009-0006-5785-9248

According to our database1, Yujun Shen authored at least 99 papers between 2018 and 2024.

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Bibliography

2024
In-Domain GAN Inversion for Faithful Reconstruction and Editability.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Zero-shot Image Editing with Reference Imitation.
CoRR, 2024

Learning Temporally Consistent Video Depth from Video Diffusion Priors.
CoRR, 2024

InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior.
CoRR, 2024

Learning 3D-Aware GANs from Unposed Images with Template Feature Field.
CoRR, 2024

FlashFace: Human Image Personalization with High-fidelity Identity Preservation.
CoRR, 2024

GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation.
CoRR, 2024

Contextual AD Narration with Interleaved Multimodal Sequence.
CoRR, 2024

Bridging 3D Gaussian and Mesh for Freeview Video Rendering.
CoRR, 2024

Real-time 3D-aware Portrait Editing from a Single Image.
CoRR, 2024

GaussianPrediction: Dynamic 3D Gaussian Prediction for Motion Extrapolation and Free View Synthesis.
Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

MaPa: Text-driven Photorealistic Material Painting for 3D Shapes.
Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

HeadArtist: Text-conditioned 3D Head Generation with Self Score Distillation.
Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

Research on Intelligent Control Methods for Community Real Population Based on Big Data and Object Detection.
Proceedings of the 2024 7th International Conference on Machine Vision and Applications, 2024

SMaRt: Improving GANs with Score Matching Regularity.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

CCM: Real-Time Controllable Visual Content Creation Using Text-to-Image Consistency Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Lipschitz Singularities in Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

DreamLIP: Language-Image Pre-training with Long Captions.
Proceedings of the Computer Vision - ECCV 2024, 2024

LivePhoto: Real Image Animation with Text-Guided Motion Control.
Proceedings of the Computer Vision - ECCV 2024, 2024

BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D Scene Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SpatialTracker: Tracking Any 2D Pixels in 3D Space.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Towards More Accurate Diffusion Model Acceleration with a Timestep Tuner.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Recipe for Scaling up Text-to-Video Generation with Text-free Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

AnyDoor: Zero-shot Object-level Image Customization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

4K4D: Real-Time 4D View Synthesis at 4K Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

NEAT: Distilling 3D Wireframes from Neural Attraction Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
ScaNeRF: Scalable Bundle-Adjusting Neural Radiance Fields for Large-Scale Scene Rendering.
ACM Trans. Graph., December, 2023

GH-Feat: Learning Versatile Generative Hierarchical Features From GANs.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

TagAlign: Improving Vision-Language Alignment with Multi-Tag Classification.
CoRR, 2023

SAM-guided Graph Cut for 3D Instance Segmentation.
CoRR, 2023

CCM: Adding Conditional Controls to Text-to-Image Consistency Models.
CoRR, 2023

Learning Naturally Aggregated Appearance for Efficient 3D Editing.
CoRR, 2023

GenDeF: Learning Generative Deformation Field for Video Generation.
CoRR, 2023

Towards More Accurate Diffusion Model Acceleration with A Timestep Aligner.
CoRR, 2023

Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis.
CoRR, 2023

CoDeF: Content Deformation Fields for Temporally Consistent Video Processing.
CoRR, 2023

AnyDoor: Zero-shot Object-level Image Customization.
CoRR, 2023

Eliminating Lipschitz Singularities in Diffusion Models.
CoRR, 2023

Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation.
CoRR, 2023

Cones 2: Customizable Image Synthesis with Multiple Subjects.
CoRR, 2023

Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation.
CoRR, 2023

VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation.
CoRR, 2023

UKnow: A Unified Knowledge Protocol for Common-Sense Reasoning and Vision-Language Pre-training.
CoRR, 2023

Spatial Steerability of GANs via Self-Supervision from Discriminator.
CoRR, 2023

LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis.
CoRR, 2023

Learning Modulated Transformation in GANs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Revisiting the Evaluation of Image Synthesis with GANs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FaceComposer: A Unified Model for Versatile Facial Content Creation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

VideoComposer: Compositional Video Synthesis with Motion Controllability.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Customizable Image Synthesis with Multiple Subjects.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Compact Neural Volumetric Video Representations with Dynamic Codebooks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Composer: Creative and Controllable Image Synthesis with Composable Conditions.
Proceedings of the International Conference on Machine Learning, 2023

Towards Smooth Video Composition.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

One-Shot Generative Domain Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Scanning Only Once: An End-to-end Framework for Fast Temporal Grounding in Long Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ViM: Vision Middleware for Unified Downstream Transferring.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dimensionality-Varying Diffusion Process.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

LipFormer: High-fidelity and Generalizable Talking Face Generation with A Pre-learned Facial Codebook.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Balancing Logit Variation for Long-Tailed Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning 3D-Aware Image Synthesis with Unknown Pose Distribution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Neural Dependencies Emerging from Learning Massive Categories.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

GLeaD: Improving GANs with A Generator-Leading Task.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Deep Generative Models on 3D Representations: A Survey.
CoRR, 2022

Interpreting Class Conditional GANs with Channel Awareness.
CoRR, 2022

A Unified Model for Multi-class Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving GANs with A Dynamic Discriminator.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning from Future: A Novel Self-Training Framework for Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Region-Based Semantic Factorization in GANs.
Proceedings of the International Conference on Machine Learning, 2022

3D-Aware Indoor Scene Synthesis with Depth Priors.
Proceedings of the Computer Vision - ECCV 2022, 2022

High-Fidelity GAN Inversion with Padding Space.
Proceedings of the Computer Vision - ECCV 2022, 2022

Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

3D-aware Image Synthesis via Learning Structural and Textural Representations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Improving GAN Equilibrium by Raising Spatial Awareness.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis.
Int. J. Comput. Vis., 2021

Decorating Your Own Bedroom: Locally Controlling Image Generation with Generative Adversarial Networks.
CoRR, 2021

Unsupervised Image Transformation Learning via Generative Adversarial Networks.
CoRR, 2021

Low-Rank Subspaces in GANs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Data-Efficient Instance Generation from Instance Discrimination.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CompConv: A Compact Convolution Module for Efficient Feature Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Generative Hierarchical Features From Synthesizing Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Glancing at the Patch: Anomaly Localization With Global and Local Feature Comparison.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Closed-Form Factorization of Latent Semantics in GANs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Improving the Fairness of Deep Generative Models without Retraining.
CoRR, 2020

Residual Knowledge Distillation.
CoRR, 2020

In-Domain GAN Inversion for Real Image Editing.
Proceedings of the Computer Vision - ECCV 2020, 2020

Interpreting the Latent Space of GANs for Semantic Face Editing.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Image Processing Using Multi-Code GAN Prior.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018
Feature Matters: A Stage-by-Stage Approach for Knowledge Transfer.
CoRR, 2018

FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis.
CoRR, 2018

FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018


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