Deepfake Detector Robustness Testing
A new benchmark dataset, the Social Media Robustness Benchmark, evaluates how deepfake detectors perform on images re-encoded by social media platforms like Instagram, Facebook, TikTok, and X. The dat…
A new benchmark dataset, the Social Media Robustness Benchmark, evaluates how deepfake detectors perform on images re-encoded by social media platforms like Instagram, Facebook, TikTok, and X. The dat…
Photoroom reduced its vision-language model inference costs by approximately 62% within three weeks by deploying Bifrost as a semantic caching layer in front of the VLM step of its product-photo diffu…
Photoroom's SDXL LoRA fine-tuning for a product photography model silently corrupted its adapter weights over six days due to a bf16 gradient accumulation issue. The custom training loop, forked from …
Researchers have developed Diff-Instruct with Diffused Reward (DIDR), a data-free trajectory-level alignment framework that propagates reward-tilted clean-image distributions across all noise levels t…
The "CUDA out of memory" error in Stable Diffusion WebUI is often caused by configuration issues rather than insufficient GPU hardware, particularly due to PyTorch's memory allocator failing to releas…
Slow single-image diffusion model inference is primarily caused by kernel launch overhead and attention memory traffic, not by a lack of computational power. It recommends using `torch.compile` with `…