2 citations · 2 across the 7 of their papers we have counts for
7 papers
RoPEMover: Depth-Aware Object Relocation via Positional Embeddings
Ipek Oztas, Duygu Ceylan, Aybars Bugra Aksoy +1
Moving an object in a single image requires geometry-consistent spatial rearrangement, including handling occlusions, revealing previously unseen regions, and maintaining coherent…
LoST: Level of Semantics Tokenization for 3D Shapes
Niladri Shekhar Dutt, Zifan Shi, Paul Guerrero +4
Tokenization is a fundamental technique in the generative modeling of various modalities. In particular, it plays a critical role in autoregressive (AR) models, which have recently…
GeoFusionLRM: Geometry-Aware Self-Correction for Consistent 3D Reconstruction
Ahmet Burak Yildirim, Tuna Saygin, Duygu Ceylan +1
Single-image 3D reconstruction with large reconstruction models (LRMs) has advanced rapidly, yet reconstructions often exhibit geometric inconsistencies and misaligned details that…
3D Stylization via Large Reconstruction Model
Ipek Oztas, Duygu Ceylan, Aysegul Dundar
With the growing success of text or image guided 3D generators, users demand more control over the generation process, appearance stylization being one of them. Given a reference i…
MD-ProjTex: Texturing 3D Shapes with Multi-Diffusion Projection
Ahmet Burak Yildirim, Mustafa Utku Aydogdu, Duygu Ceylan +1
We introduce MD-ProjTex, a method for fast and consistent text-guided texture generation for 3D shapes using pretrained text-to-image diffusion models. At the core of our approach…
HyperGAN-CLIP: A Unified Framework for Domain Adaptation, Image Synthesis and Manipulation
Abdul Basit Anees, Ahmet Canberk Baykal, Muhammed Burak Kizil +3
Generative Adversarial Networks (GANs), particularly StyleGAN and its variants, have demonstrated remarkable capabilities in generating highly realistic images. Despite their succe…
SonicDiffusion: Audio-Driven Image Generation and Editing with Pretrained Diffusion Models
Burak Can Biner, Farrin Marouf Sofian, Umur Berkay Karakaş +3
We are witnessing a revolution in conditional image synthesis with the recent success of large scale text-to-image generation methods. This success also opens up new opportunities…