Hidir Yesiltepe

According to our database1, Hidir Yesiltepe authored at least 13 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
DTG-Restore: Training-Free Diffusion Refinement for Generative Video Super-Resolution.
CoRR, May, 2026

VideoMLA: Low-Rank Latent KV Cache for Minute-Scale Autoregressive Video Diffusion.
CoRR, May, 2026

Aligning Latent Geometry for Spherical Flow Matching in Image Generation.
CoRR, May, 2026

MotionFlow: Attention-Driven Motion Transfer in Video Diffusion Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Infinity-RoPE: Action-Controllable Infinite Video Generation Emerges From Autoregressive Self-Rollout.
CoRR, November, 2025

Dynamic View Synthesis as an Inverse Problem.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024
MotionShop: Zero-Shot Motion Transfer in Video Diffusion Models with Mixture of Score Guidance.
CoRR, 2024

The Curious Case of End Token: A Zero-Shot Disentangled Image Editing using CLIP.
CoRR, 2024

MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models.
CoRR, 2024

GANTASTIC: GAN-based Transfer of Interpretable Directions for Disentangled Image Editing in Text-to-Image Diffusion Models.
CoRR, 2024

Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024


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