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Shanghai Jiao Tong University
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TEASR achieves seamless any-step sampling and outperforms traditional methods, all while eliminating the need for bulky auxiliary models.
Unified benchmarks reveal the state-of-the-art in simultaneously addressing multiple real-world image degradations like blur, low-light, and rain.
Bitstream-corrupted video restoration remains a significant challenge, even with recent advances, as revealed by the NTIRE 2026 challenge results.
Finally, a blind face restoration method that doesn't just hallucinate details, but lets you precisely control facial attributes via text prompts while maintaining high fidelity.
