activity
20152026
most citedDISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction

236 citations · 604 across the 49 of their papers we have counts for

collaborators

55 papers

cs.CV2026

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,…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.GR2025★ 1 cited

MonetGPT: Solving Puzzles Enhances MLLMs' Image Retouching Skills

Niladri Shekhar Dutt, Duygu Ceylan, Niloy J. Mitra

Retouching is an essential task in post-manipulation of raw photographs. Generative editing, guided by text or strokes, provides a new tool accessible to users but can easily chang…

cs.CV2024

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…