236 citations · 604 across the 49 of their papers we have counts for
48 papers · 1 filter
UniSlider: Perceptually Uniform Sliders for Continuous Image Editing
David Serrano-Lozano, Duygu Ceylan, Yannick Hold-Geoffroy +3
Sliders provide an intuitive interface for continuous image editing. In current generative approaches, however, the slider is simply a rescaling of the method's strength parameter,…
Auteur: Language-Driven Cinematographic Framing for Human-Centric Video Generation
Muhammed Burak Kizil, Enes Sanli, Niloy J. Mitra +4
Generative video models have achieved remarkable visual fidelity and temporal coherence, yet intentional camera control remains elusive. Existing frameworks treat camera motion as…
Memory-V2V: Memory-Augmented Video-to-Video Diffusion for Consistent Multi-Turn Editing
Dohun Lee, Chun-Hao Paul Huang, Xuelin Chen +3
Video-to-video diffusion models achieve impressive single-turn editing performance, but practical editing workflows are inherently iterative. When edits are applied sequentially, e…
LAMP: Language-Assisted Motion Planning for Controllable Video Generation
Muhammed Burak Kizil, Enes Sanli, Niloy J. Mitra +3
Video generation has achieved remarkable progress in visual fidelity and controllability, enabling conditioning on text, layout, or motion. Among these, motion control - specifying…
GANFusion: Feed-Forward Text-to-3D with Diffusion in GAN Space
Souhaib Attaiki, Paul Guerrero, Duygu Ceylan +2
We train a feed-forward text-to-3D diffusion generator for human characters using only single-view 2D data for supervision. Existing 3D generative models cannot yet match the fidel…
Learned Single-Pass Multitasking Perceptual Graphics for Immersive Displays
Doğa Yılmaz, He Wang, Towaki Takikawa +2
Emerging immersive display technologies efficiently utilize resources with perceptual graphics methods such as foveated rendering and denoising. Running multiple perceptual graphic…
SuperGaussian: Repurposing Video Models for 3D Super Resolution
Yuan Shen, Duygu Ceylan, Paul Guerrero +4
We present a simple, modular, and generic method that upsamples coarse 3D models by adding geometric and appearance details. While generative 3D models now exist, they do not yet m…
MatAtlas: Text-driven Consistent Geometry Texturing and Material Assignment
Duygu Ceylan, Valentin Deschaintre, Thibault Groueix +5
We present MatAtlas, a method for consistent text-guided 3D model texturing. Following recent progress we leverage a large scale text-to-image generation model (e.g., Stable Diffus…
Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models
Shengqu Cai, Duygu Ceylan, Matheus Gadelha +3
Traditional 3D content creation tools empower users to bring their imagination to life by giving them direct control over a scene's geometry, appearance, motion, and camera path. C…
BLiSS: Bootstrapped Linear Shape Space
Sanjeev Muralikrishnan, Chun-Hao Paul Huang, Duygu Ceylan +1
Morphable models are fundamental to numerous human-centered processes as they offer a simple yet expressive shape space. Creating such morphable models, however, is both tedious an…
GRIP: Generating Interaction Poses Using Spatial Cues and Latent Consistency
Omid Taheri, Yi Zhou, Dimitrios Tzionas +4
Hands are dexterous and highly versatile manipulators that are central to how humans interact with objects and their environment. Consequently, modeling realistic hand-object inter…
CLIP-Guided StyleGAN Inversion for Text-Driven Real Image Editing
Ahmet Canberk Baykal, Abdul Basit Anees, Duygu Ceylan +3
Researchers have recently begun exploring the use of StyleGAN-based models for real image editing. One particularly interesting application is using natural language descriptions t…
Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling
Youngjoong Kwon, Dahun Kim, Duygu Ceylan +1
We present a method that enables synthesizing novel views and novel poses of arbitrary human performers from sparse multi-view images. A key ingredient of our method is a hybrid ap…
VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs
Moayed Haji Ali, Andrew Bond, Tolga Birdal +4
We propose , a spatiotemporally continuous disentangled eo representation based upon GAN and Neural-s. Effective t…
Pix2Video: Video Editing using Image Diffusion
Duygu Ceylan, Chun-Hao Paul Huang, Niloy J. Mitra
Image diffusion models, trained on massive image collections, have emerged as the most versatile image generator model in terms of quality and diversity. They support inverting rea…
Blowing in the Wind: CycleNet for Human Cinemagraphs from Still Images
Hugo Bertiche, Niloy J. Mitra, Kuldeep Kulkarni +5
Cinemagraphs are short looping videos created by adding subtle motions to a static image. This kind of media is popular and engaging. However, automatic generation of cinemagraphs…
Normal-guided Garment UV Prediction for Human Re-texturing
Yasamin Jafarian, Tuanfeng Y. Wang, Duygu Ceylan +4
Clothes undergo complex geometric deformations, which lead to appearance changes. To edit human videos in a physically plausible way, a texture map must take into account not only…
UMFuse: Unified Multi View Fusion for Human Editing applications
Rishabh Jain, Mayur Hemani, Duygu Ceylan +4
Numerous pose-guided human editing methods have been explored by the vision community due to their extensive practical applications. However, most of these methods still use an ima…
VGFlow: Visibility guided Flow Network for Human Reposing
Rishabh Jain, Krishna Kumar Singh, Mayur Hemani +4
The task of human reposing involves generating a realistic image of a person standing in an arbitrary conceivable pose. There are multiple difficulties in generating perceptually a…
Motion Guided Deep Dynamic 3D Garments
Meng Zhang, Duygu Ceylan, Niloy J. Mitra
Realistic dynamic garments on animated characters have many AR/VR applications. While authoring such dynamic garment geometry is still a challenging task, data-driven simulation pr…
Learning Visibility for Robust Dense Human Body Estimation
Chun-Han Yao, Jimei Yang, Duygu Ceylan +3
Estimating 3D human pose and shape from 2D images is a crucial yet challenging task. While prior methods with model-based representations can perform reasonably well on whole-body…
RiCS: A 2D Self-Occlusion Map for Harmonizing Volumetric Objects
Yunseok Jang, Ruben Villegas, Jimei Yang +3
There have been remarkable successes in computer vision with deep learning. While such breakthroughs show robust performance, there have still been many challenges in learning in-d…
Learning Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans from a Single Camera
Jae Shin Yoon, Duygu Ceylan, Tuanfeng Y. Wang +4
Appearance of dressed humans undergoes a complex geometric transformation induced not only by the static pose but also by its dynamics, i.e., there exists a number of cloth geometr…
Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesis
Tuanfeng Y. Wang, Duygu Ceylan, Krishna Kumar Singh +1
Synthesizing dynamic appearances of humans in motion plays a central role in applications such as AR/VR and video editing. While many recent methods have been proposed to tackle th…