most citedCLE Diffusion: Controllable Light Enhancement Diffusion Model

74 citations · 87 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV20242 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.CV20242 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…

cs.CV2024

VASE: Object-Centric Appearance and Shape Manipulation of Real Videos

Elia Peruzzo, Vidit Goel, Dejia Xu +5

Recently, several works tackled the video editing task fostered by the success of large-scale text-to-image generative models. However, most of these methods holistically edit the…

cs.CV20241 cited

Taming Mode Collapse in Score Distillation for Text-to-3D Generation

Peihao Wang, Dejia Xu, Zhiwen Fan +8

Despite the remarkable performance of score distillation in text-to-3D generation, such techniques notoriously suffer from view inconsistency issues, also known as "Janus" artifact…

cs.CV20243 cited

SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity

Peihao Wang, Zhiwen Fan, Dejia Xu +8

Score distillation has emerged as one of the most prevalent approaches for text-to-3D asset synthesis. Essentially, score distillation updates 3D parameters by lifting and back-pro…

cs.CV2023

Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing Else

Hazarapet Tunanyan, Dejia Xu, Shant Navasardyan +2

Recent advances in text-to-image diffusion models have enabled the photorealistic generation of images from text prompts. Despite the great progress, existing models still struggle…