Zhengyang Geng

Orcid: 0009-0006-9903-2716

According to our database1, Zhengyang Geng authored at least 16 papers between 2019 and 2024.

Collaborative distances:

Timeline

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2024
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PhD thesis 
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Links

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Bibliography

2024
Diff-Instruct*: Towards Human-Preferred One-step Text-to-image Generative Models.
CoRR, 2024

Flow Generator Matching.
CoRR, 2024

Stable Consistency Tuning: Understanding and Improving Consistency Models.
CoRR, 2024

Consistency Models Made Easy.
CoRR, 2024

One-Step Diffusion Distillation through Score Implicit Matching.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Equilibrium Image Denoising With Implicit Differentiation.
IEEE Trans. Image Process., 2023

TorchDEQ: A Library for Deep Equilibrium Models.
CoRR, 2023

One-Step Diffusion Distillation via Deep Equilibrium Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Deep Equilibrium Approaches to Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Eliminating Gradient Conflict in Reference-based Line-Art Colorization.
Proceedings of the Computer Vision - ECCV 2022, 2022

Deep Equilibrium Optical Flow Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Residual Relaxation for Multi-view Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On Training Implicit Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Is Attention Better Than Matrix Decomposition?
Proceedings of the 9th International Conference on Learning Representations, 2021

2019
FIS-GAN: GAN with Flow-based Importance Sampling.
CoRR, 2019


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