Chenlin Meng

Orcid: 0000-0001-8185-7716

According to our database1, Chenlin Meng authored at least 40 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs.
CoRR, 2024

HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

DiffusionSat: A Generative Foundation Model for Satellite Imagery.
CoRR, 2023

DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling.
CoRR, 2023

Holistic Evaluation of Text-To-Image Models.
CoRR, 2023

Discrete Diffusion Language Modeling by Estimating the Ratios of the Data Distribution.
CoRR, 2023

SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution.
CoRR, 2023

Building Coverage Estimation with Low-resolution Remote Sensing Imagery.
CoRR, 2023

SIGGRAPH 2023 Course on Diffusion Models.
Proceedings of the ACM SIGGRAPH 2023 Courses, 2023

Holistic Evaluation of Text-to-Image Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dual Diffusion Implicit Bridges for Image-to-Image Translation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

On Distillation of Guided Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
On Distillation of Guided Diffusion Models.
CoRR, 2022

Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution.
CoRR, 2022

Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generalizing Bayesian Optimization with Decision-theoretic Entropies.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Concrete Score Matching: Generalized Score Matching for Discrete Data.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ButterflyFlow: Building Invertible Layers with Butterfly Matrices.
Proceedings of the International Conference on Machine Learning, 2022

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Density Ratio Estimation via Infinitesimal Classification.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
SDEdit: Image Synthesis and Editing with Stochastic Differential Equations.
CoRR, 2021

D2C: Diffusion-Denoising Models for Few-shot Conditional Generation.
CoRR, 2021

SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Estimating High Order Gradients of the Data Distribution by Denoising.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving.
Proceedings of the 38th International Conference on Machine Learning, 2021

Denoising Diffusion Implicit Models.
Proceedings of the 9th International Conference on Learning Representations, 2021

Improved Autoregressive Modeling with Distribution Smoothing.
Proceedings of the 9th International Conference on Learning Representations, 2021

Geography-Aware Self-Supervised Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Nonlinear Equation Solving: A Faster Alternative to Feedforward Computation.
CoRR, 2020

Autoregressive Score Matching.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Gaussianization Flows.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Learning to Interpret Satellite Images in Global Scale Using Wikipedia.
CoRR, 2019

MintNet: Building Invertible Neural Networks with Masked Convolutions.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Predicting Economic Development using Geolocated Wikipedia Articles.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning to Interpret Satellite Images using Wikipedia.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019


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