Chenlin Meng

papers

2,682

total citations

papers (18)

On Distillation of Guided Diffusion Models

CVPR 2023arXiv

713

citations

SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery

NEURIPS 2022arXiv

420

citations

Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution

ICML 2024arXiv

354

citations

Geography-Aware Self-Supervised Learning

ICCV 2021arXiv

294

citations

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

ICML 2024arXiv

200

citations

Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis

NEURIPS 2021arXiv

citations

DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling

CVPR 2024arXiv

citations

Autoregressive Score Matching

NEURIPS 2020arXiv

citations

Generalizing Bayesian Optimization with Decision-theoretic Entropies

NEURIPS 2022arXiv

citations

Keyframe-Guided Creative Video Inpainting

CVPR 2025

citations

Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations

NEURIPS 2022arXiv

citations

D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation

NEURIPS 2021

citations

Chenlin Meng

papers (18)

On Distillation of Guided Diffusion Models

SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery

Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution

Geography-Aware Self-Supervised Learning

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

Holistic Evaluation of Text-to-Image Models

Concrete Score Matching: Generalized Score Matching for Discrete Data

SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models

Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing

Estimating High Order Gradients of the Data Distribution by Denoising

Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models

Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis

DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling

Autoregressive Score Matching

Generalizing Bayesian Optimization with Decision-theoretic Entropies

Keyframe-Guided Creative Video Inpainting

Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations

D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation

papers (18)

On Distillation of Guided Diffusion Models

SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery

Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution

Geography-Aware Self-Supervised Learning

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

Holistic Evaluation of Text-to-Image Models

Concrete Score Matching: Generalized Score Matching for Discrete Data

SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models

Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing

Estimating High Order Gradients of the Data Distribution by Denoising

Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models

Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis

DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling

Autoregressive Score Matching

Generalizing Bayesian Optimization with Decision-theoretic Entropies

Keyframe-Guided Creative Video Inpainting

Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations

D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation