NeurIPS Poster "conditional generation" Papers

7 papers found

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DISCO: DISCrete nOise for Conditional Control in Text-to-Image Diffusion Models

Longquan Dai, Wu Ming, Dejiao Xue et al.

NeurIPS 2025poster

Feedback Guidance of Diffusion Models

Felix Koulischer, Florian Handke, Johannes Deleu et al.

NeurIPS 2025posterarXiv:2506.06085
4
citations

Generative Perception of Shape and Material from Differential Motion

Xinran Han, Ko Nishino, Todd Zickler

NeurIPS 2025posterarXiv:2506.02473

Graph Diffusion that can Insert and Delete

Matteo Ninniri, Marco Podda, Davide Bacciu

NeurIPS 2025posterarXiv:2506.15725

Model-Guided Dual-Role Alignment for High-Fidelity Open-Domain Video-to-Audio Generation

Kang Zhang, Trung X. Pham, Suyeon Lee et al.

NeurIPS 2025posterarXiv:2510.24103

Token Perturbation Guidance for Diffusion Models

Javad Rajabi, Soroush Mehraban, Seyedmorteza Sadat et al.

NeurIPS 2025posterarXiv:2506.10036
6
citations

Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction

Yisen Gao, Xingcheng Fu, Qingyun Sun et al.

NeurIPS 2025posterarXiv:2510.04522