Chenlin Meng
32 papers · 2019–2025 · 8 venues · across top CS/AI venues
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Research topics
Deep Learning
(22)
Machine Learning
(20)
Computer Vision
(19)
Models
(18)
Generation
(10)
Core Methods
(9)
Artificial Intelligence
(8)
Learning Types Β· Machine Learning
(8)
Domain-Specific
(7)
Processing
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Learning Types Β· Deep Learning
(6)
Optimization & Theory
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Mathematics & Optimization
(4)
Application Areas
(4)
Bayesian & Probabilistic
(4)
Keywords
diffusion model
(12)
image generation
(8)
generative model
(7)
satellite imagery
(6)
remote sensing
(5)
density estimation
(4)
score matching
(4)
normalizing flow
(3)
autoregressive model
(3)
probability distribution
(3)
latent space
(2)
image denoising
(2)
contrastive learning
(2)
image synthesis
(2)
object detection
(2)
image classification
(2)
multimodal learning
(2)
multispectral imaging
(2)
image editing
(2)
bayesian inference
(1)
Papers
AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
ICLR 2025
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
CVPR 2025
Keyframe-Guided Creative Video Inpainting
CVPR 2025
SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models
ICLR 2025
DiffusionSat: A Generative Foundation Model for Satellite Imagery
ICLR 2024
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
ICML 2024
DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling
CVPR 2024
HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing
AAAI 2024
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
ICML 2024
Dual Diffusion Implicit Bridges for Image-to-Image Translation
ICLR 2023
Holistic Evaluation of Text-to-Image Models
NeurIPS 2023
On Distillation of Guided Diffusion Models
CVPR 2023
ButterflyFlow: Building Invertible Layers with Butterfly Matrices
ICML 2022
Concrete Score Matching: Generalized Score Matching for Discrete Data
NeurIPS 2022
Density Ratio Estimation via Infinitesimal Classification
AISTATS 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
NeurIPS 2022
Generalizing Bayesian Optimization with Decision-theoretic Entropies
NeurIPS 2022
IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling
AAAI 2022
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery
NeurIPS 2022
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
ICLR 2022
Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations
NeurIPS 2022
Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving
ICML 2021
D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation
NeurIPS 2021
Denoising Diffusion Implicit Models
ICLR 2021
Estimating High Order Gradients of the Data Distribution by Denoising
NeurIPS 2021
Geography-Aware Self-Supervised Learning
ICCV 2021
Improved Autoregressive Modeling with Distribution Smoothing
ICLR 2021
Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis
NeurIPS 2021
Autoregressive Score Matching
NeurIPS 2020
Gaussianization Flows
AISTATS 2020
Learning to Interpret Satellite Images using Wikipedia
IJCAI 2019
MintNet: Building Invertible Neural Networks with Masked Convolutions
NeurIPS 2019