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20232025
most citedDiffusionSat: A Generative Foundation Model for Satellite Imagery

31 citations · 39 across the 9 of their papers we have counts for

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cs.CV2024

3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation

Hansheng Chen, Bokui Shen, Yulin Liu +7

Multi-view image diffusion models have significantly advanced open-domain 3D object generation. However, most existing models rely on 2D network architectures that lack inherent 3D…

cs.CV2023★ 31 cited

DiffusionSat: A Generative Foundation Model for Satellite Imagery

Samar Khanna, Patrick Liu, Linqi Zhou +5

Diffusion models have achieved state-of-the-art results on many modalities including images, speech, and video. However, existing models are not tailored to support remote sensing…

cs.CV2023★ 4 cited

Diffusion Model Alignment Using Direct Preference Optimization

Bram Wallace, Meihua Dang, Rafael Rafailov +7

Large language models (LLMs) are fine-tuned using human comparison data with Reinforcement Learning from Human Feedback (RLHF) methods to make them better aligned with users' prefe…

cs.CV2023

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

Linqi Zhou, Andy Shih, Chenlin Meng +1

Recent methods such as Score Distillation Sampling (SDS) and Variational Score Distillation (VSD) using 2D diffusion models for text-to-3D generation have demonstrated impressive g…

cs.CV2023★ 4 cited

Denoising Diffusion Bridge Models

Linqi Zhou, Aaron Lou, Samar Khanna +1

Diffusion models are powerful generative models that map noise to data using stochastic processes. However, for many applications such as image editing, the model input comes from…