Chenlin Meng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
9
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Keyframe-Guided Creative Video Inpainting. | Yuwei Guo, Ceyuan Yang, Anyi Rao, Chenlin Meng, Omer Bar-Tal, Shuangrui Ding, Maneesh Agrawala, Dahua Lin, Bo Dai |
| 2025 | CVPR | Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing. | Bingliang Zhang, Wenda Chu, Julius Berner, Chenlin Meng, Anima Anandkumar, Yang Song |
| 2025 | ICLR | AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark. | Wenhao Chai, Enxin Song, Yilun Du, Chenlin Meng, Vashisht Madhavan, Omer Bar-Tal, Jenq-Neng Hwang, Saining Xie, Christopher D. Manning |
| 2025 | ICLR | SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models. | Muyang Li, Yujun Lin, Zhekai Zhang, Tianle Cai, Xiuyu Li, Junxian Guo, Enze Xie, Chenlin Meng, Jun-Yan Zhu, Song Han |
| 2024 | AAAI | HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing. | Jonathan Xu, Amna Elmustafa, Liya Weldegebriel, Emnet Negash, Richard Lee, Chenlin Meng, Stefano Ermon, David B. Lobell |
| 2024 | CVPR | HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing. | Jonathan Xu, Amna Elmustafa, Liya Weldegebriel, Emnet Negash, Richard Lee, Chenlin Meng, Stefano Ermon, David B. Lobell |
| 2024 | CVPR | DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling. | Linqi Zhou, Andy Shih, Chenlin Meng, Stefano Ermon |
| 2024 | ICLR | DiffusionSat: A Generative Foundation Model for Satellite Imagery. | Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David B. Lobell, Stefano Ermon |
| 2024 | ICML | Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs. | Ling Yang, Zhaochen Yu, Chenlin Meng, Minkai Xu, Stefano Ermon, Bin Cui |
| 2024 | ICML | Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution. | Aaron Lou, Chenlin Meng, Stefano Ermon |
| 2024 | SIGGRAPH | Generative Models for Visual Content Editing and Creation. | Anyi Rao, Yuanbo Xiangli, Yuwei Guo, Mia Tang, Chenlin Meng, Maneesh Agrawala |
| 2023 | CVPR | On Distillation of Guided Diffusion Models. | Chenlin Meng, Robin Rombach, Ruiqi Gao, Diederik P. Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans |
| 2023 | ICLR | Dual Diffusion Implicit Bridges for Image-to-Image Translation. | Xuan Su, Jiaming Song, Chenlin Meng, Stefano Ermon |
| 2023 | SIGGRAPH | SIGGRAPH 2023 Course on Diffusion Models. | Chenlin Meng, Jiaming Song, Shuang Li, Jun-Yan Zhu, Stefano Ermon, Tsung-Yi Lin, Chen-Hsuan Lin, Karsten Kreis |
| 2022 | AAAI | IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling. | Chenlin Meng, Enci Liu, Willie Neiswanger, Jiaming Song, Marshall Burke, David B. Lobell, Stefano Ermon |
| 2022 | AISTATS | Density Ratio Estimation via Infinitesimal Classification. | Kristy Choi, Chenlin Meng, Yang Song, Stefano Ermon |
| 2022 | ICLR | SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations. | Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon |
| 2022 | ICML | ButterflyFlow: Building Invertible Layers with Butterfly Matrices. | Chenlin Meng, Linqi Zhou, Kristy Choi, Tri Dao, Stefano Ermon |
| 2021 | ICCV | Geography-Aware Self-Supervised Learning. | Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon |
| 2021 | ICLR | Improved Autoregressive Modeling with Distribution Smoothing. | Chenlin Meng, Jiaming Song, Yang Song, Shengjia Zhao, Stefano Ermon |
| 2021 | ICLR | Denoising Diffusion Implicit Models. | Jiaming Song, Chenlin Meng, Stefano Ermon |
| 2021 | ICML | Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving. | Yang Song, Chenlin Meng, Renjie Liao, Stefano Ermon |
| 2020 | AISTATS | Gaussianization Flows. | Chenlin Meng, Yang Song, Jiaming Song, Stefano Ermon |
| 2019 | IJCAI | Learning to Interpret Satellite Images using Wikipedia. | Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon |
| 2019 | KDD | Predicting Economic Development using Geolocated Wikipedia Articles. | Evan Sheehan, Chenlin Meng, Matthew Tan, Burak Uzkent, Neal Jean, Marshall Burke, David B. Lobell, Stefano Ermon |