activity
20162024
most citedRobust end-to-end deep audiovisual speech recognition

6 citations · 9 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV20241 cited

FabricDiffusion: High-Fidelity Texture Transfer for 3D Garments Generation from In-The-Wild Clothing Images

Cheng Zhang, Yuanhao Wang, Francisco Vicente Carrasco +4

We introduce FabricDiffusion, a method for transferring fabric textures from a single clothing image to 3D garments of arbitrary shapes. Existing approaches typically synthesize te…

cs.CV2024

Generalizable Human Gaussians for Sparse View Synthesis

Youngjoong Kwon, Baole Fang, Yixing Lu +9

Recent progress in neural rendering has brought forth pioneering methods, such as NeRF and Gaussian Splatting, which revolutionize view rendering across various domains like AR/VR,…

cs.CV2024

Taming 3DGS: High-Quality Radiance Fields with Limited Resources

Saswat Subhajyoti Mallick, Rahul Goel, Bernhard Kerbl +3

3D Gaussian Splatting (3DGS) has transformed novel-view synthesis with its fast, interpretable, and high-fidelity rendering. However, its resource requirements limit its usability.…

cs.CV2024

Consolidating Attention Features for Multi-view Image Editing

Or Patashnik, Rinon Gal, Daniel Cohen-Or +2

Large-scale text-to-image models enable a wide range of image editing techniques, using text prompts or even spatial controls. However, applying these editing methods to multi-view…

cs.CV20241 cited

Contrastive Prompts Improve Disentanglement in Text-to-Image Diffusion Models

Chen Wu, Fernando De la Torre

Text-to-image diffusion models have achieved remarkable performance in image synthesis, while the text interface does not always provide fine-grained control over certain image fac…

cs.CV2023

ITI-GEN: Inclusive Text-to-Image Generation

Cheng Zhang, Xuanbai Chen, Siqi Chai +4

Text-to-image generative models often reflect the biases of the training data, leading to unequal representations of underrepresented groups. This study investigates inclusive text…