Ziyu Wan

Orcid: 0000-0003-2421-3484

According to our database1, Ziyu Wan authored at least 34 papers between 2019 and 2024.

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Bibliography

2024
Text2NeRF: Text-Driven 3D Scene Generation With Neural Radiance Fields.
IEEE Trans. Vis. Comput. Graph., December, 2024

ε-VAE: Denoising as Visual Decoding.
CoRR, 2024

An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion.
CoRR, 2024

EG4D: Explicit Generation of 4D Object without Score Distillation.
CoRR, 2024

Reinforcing Language Agents via Policy Optimization with Action Decomposition.
CoRR, 2024

RaFE: Generative Radiance Fields Restoration.
CoRR, 2024

Natural Language Reinforcement Learning.
CoRR, 2024

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

AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

CAD : Photorealistic 3D Generation via Adversarial Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Adaptive Joint Optimization for 3D Reconstruction With Differentiable Rendering.
IEEE Trans. Vis. Comput. Graph., June, 2023

Old Photo Restoration via Deep Latent Space Translation.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning.
J. Mach. Learn. Res., 2023

Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training.
CoRR, 2023

Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields.
CoRR, 2023

Order Matters: Agent-by-agent Policy Optimization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Neural Duplex Radiance Fields for Real-Time View Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud.
IEEE Trans. Vis. Comput. Graph., 2022

KFIML: Kubernetes-Based Fog Computing IoT Platform for Online Machine Learning.
IEEE Internet Things J., 2022

On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective.
CoRR, 2022

FDNeRF: Few-shot Dynamic Neural Radiance Fields for Face Reconstruction and Expression Editing.
Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 2022

Bringing Old Films Back to Life.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Visual Structure Constraint for Transductive Zero-Shot Learning in the Wild.
Int. J. Comput. Vis., 2021

MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning.
CoRR, 2021

Discovering Multi-Agent Auto-Curricula in Two-Player Zero-Sum Games.
CoRR, 2021

DeFLOCNet: Deep Image Editing via Flexible Low-level Controls.
CoRR, 2021

Neural Auto-Curricula in Two-Player Zero-Sum Games.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

High-Fidelity Pluralistic Image Completion with Transformers.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

PD-GAN: Probabilistic Diverse GAN for Image Inpainting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

DeFLOCNet: Deep Image Editing via Flexible Low-Level Controls.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Global Fusion Attention for Vision and Language Understanding (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Bringing Old Photos Back to Life.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Transductive Zero-Shot Learning with Visual Structure Constraint.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Transductive Zero-Shot Learning via Visual Center Adaptation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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