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20222026
most citedeDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

223 citations · 727 across the 52 of their papers we have counts for

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Showing 2024 · cs.CVShow all

7 papers · 2 filters

cs.CV2024

Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models

Giannis Daras, Weili Nie, Karsten Kreis +4

Using image models naively for solving inverse video problems often suffers from flickering, texture-sticking, and temporal inconsistency in generated videos. To tackle these probl…

cs.CV2024

Stochastic Flow Matching for Resolving Small-Scale Physics

Stathi Fotiadis, Noah Brenowitz, Tomas Geffner +4

Conditioning diffusion and flow models have proven effective for super-resolving small-scale details in natural images.However, in physical sciences such as weather, super-resolvin…

cs.CV2024

Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models

Rohit Jena, Ali Taghibakhshi, Sahil Jain +3

Text-to-image (T2I) diffusion models have become prominent tools for generating high-fidelity images from text prompts. However, when trained on unfiltered internet data, these mod…

cs.CV2024★ 2 cited

CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation

Dejia Xu, Weili Nie, Chao Liu +4

Recently video diffusion models have emerged as expressive generative tools for high-quality video content creation readily available to general users. However, these models often…

cs.CV2024★ 12 cited

DiffUHaul: A Training-Free Method for Object Dragging in Images

Omri Avrahami, Rinon Gal, Gal Chechik +4

Text-to-image diffusion models have proven effective for solving many image editing tasks. However, the seemingly straightforward task of seamlessly relocating objects within a sce…

cs.CV2024★ 1 cited

Compositional Text-to-Image Generation with Dense Blob Representations

Weili Nie, Sifei Liu, Morteza Mardani +3

Existing text-to-image models struggle to follow complex text prompts, raising the need for extra grounding inputs for better controllability. In this work, we propose to decompose…

cs.CV2024★ 2 cited

AGG: Amortized Generative 3D Gaussians for Single Image to 3D

Dejia Xu, Ye Yuan, Morteza Mardani +4

Given the growing need for automatic 3D content creation pipelines, various 3D representations have been studied to generate 3D objects from a single image. Due to its superior ren…