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Comments (21)
- qingcharlesHow does it stack up against Adobe's model? The advantage Adobe has is there are essentially two options: (1) Select Subject (95% of the time will give you the result you want); (2) Select Person (helps in the edge cases).The issue I have is, what is the subject? For instance, you have a person sat on a couch. You hit Select Subject. Is the subject the person, or the person plus the couch?With Adobe's when I only want the person, most of the time Select Subject works, and when it doesn't I can pivot to Select Person, but that has its own problem because it won't include props that the subject is holding, only the person and their clothing.
- geooff_I love seeing this. Background removal is such a core task used in so many systems, I group it in with speech to text in terms of importance.I love seeing maturity getting pushed in this space. Congratulations to you and the team!
- woadwarrior01Why extend an MIT licensed model's weights (BiRefNet) and release it under a cc-by-nc-4.0 license?
- nickludlamThis looks great! What are the resolution limits? From the GitHub readme I saw mention of 1024x1024, but I was able to process an image 1920x2880 just fine. I didn't see any really obvious scaling artefacts, so is there something clever happening behind the scenes?
- rahulb0802How did you assemble your training dataset, especially since you mention some of the considerations with different training mixes in your controlled eval?
- defmetrixThis is awesome, I just bookmarked your tool. Ive been looking for something simple to use, since Its not easy to use the segment anything tool anymore. Thanks!
- yaroneI was so impressed with remove.bg in Dec 2018; awesome to see the progress in this area, so cool.
- sudbvery cool! I've been having a fun time porting non-LLM models to iOS/Android (recently had some success with making Bonsai's image generation model run on Android) - have you attempted to run any of the workflows on a mobile device at all? Mind if I try?
- bickov[flagged]