Dejia Xu

Orcid: 0000-0001-8474-3095

According to our database1, Dejia Xu authored at least 34 papers between 2020 and 2024.

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Bibliography

2024
Comp4D: LLM-Guided Compositional 4D Scene Generation.
CoRR, 2024

AGG: Amortized Generative 3D Gaussians for Single Image to 3D.
CoRR, 2024

VASE: Object-Centric Appearance and Shape Manipulation of Real Videos.
CoRR, 2024

Taming Mode Collapse in Score Distillation for Text-to-3D Generation.
CoRR, 2024

SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity.
CoRR, 2024

2023
Background Scene Recovery From an Image Looking Through Colored Glass.
IEEE Trans. Multim., 2023

4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency.
CoRR, 2023

Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields.
CoRR, 2023

LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS.
CoRR, 2023

Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing Else.
CoRR, 2023

Drag View: Generalizable Novel View Synthesis with Unposed Imagery.
CoRR, 2023

Reference-based Painterly Inpainting via Diffusion: Crossing the Wild Reference Domain Gap.
CoRR, 2023

POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference.
CoRR, 2023

PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models.
CoRR, 2023

CLE Diffusion: Controllable Light Enhancement Diffusion Model.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation.
Proceedings of the International Conference on Machine Learning, 2023

NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

NeuralLift-360: Lifting an in-the-Wild 2D Photo to A 3D Object with 360° Views.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Signal Processing for Implicit Neural Representations.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ReCoRo: Region-Controllable Robust Light Enhancement with User-Specified Imprecise Masks.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Cloud2Sketch: Augmenting Clouds with Imaginary Sketches.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image.
Proceedings of the Computer Vision - ECCV 2022, 2022

Unified Implicit Neural Stylization.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Benchmarking Low-Light Image Enhancement and Beyond.
Int. J. Comput. Vis., 2021

Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results.
CoRR, 2020




Moiré Pattern Removal via Attentive Fractal Network.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020


Towards Scale-Free Rain Streak Removal via Self-Supervised Fractal Band Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020


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