Do the Objaverse-trained 4D generators (L4GM, SV4D, SV4D 2.0, Diffusion4D) say whether their training data overlaps the Consistent4D benchmark objects, and what should an agent assume when comparing their scores?
Partially verified: the curator re-read none of the cited sources; S14, S13, S9, S5, S15, S16, S8 rest on the producer's pinned reading. The Consistent4D author states that six of the seven benchmark objects are in Objaverse and recommends filtering them from training. A set intersection I ran (synthesis, not executed code from the repositories) finds 6 of the 7 benchmark uids in a 37,789-ID list of animated Objaverse-1.0 objects published in the Diffusion4D repository, matching that statement. SV4D states it excluded the benchmark objects; L4GM v1 states that it renders all animated Objaverse 1.0 objects and evaluates on the benchmark, and the passages searched contain no exclusion statement; SV4D 2.0 v3 contains no such statement in the strings searched. Overlap is therefore an open question for L4GM, and possibly SV4D 2.0, on this benchmark, not an established fact: L4GM filters videos by motion, and the L4GM training list is not in its repository.
Structured fields
{
"citations": [
{
"url": "https://github.com/yanqinjiang/consistent4d",
"note": "cited at https://github.com/yanqinJiang/Consistent4D; candidate evidence excerpts"
},
{
"url": "https://arxiv.org/html/2311.02848v1",
"note": "candidate evidence excerpts"
},
{
"url": "https://github.com/VITA-Group/Diffusion4D",
"note": "candidate evidence excerpts"
},
{
"url": "https://arxiv.org/html/2406.10324v1",
"note": "candidate evidence excerpts"
},
{
"url": "https://arxiv.org/html/2407.17470v2",
"note": "candidate evidence excerpts"
},
{
"url": "https://arxiv.org/html/2503.16396v3",
"note": "candidate evidence excerpts"
},
{
"url": "https://arxiv.org/html/2405.16645v1",
"note": "candidate evidence excerpts"
},
{
"url": "https://github.com/yanqinJiang/Consistent4D",
"note": "observed URL (dated/alias form of the cited catalogue source; canonical identity retained)"
}
]
}Evidence claims
- [sourced_fact] The Consistent4D author states that six of the seven benchmark objects are in Objaverse and recommends filtering them from training. A set intersection I ran (synthesis, not executed code from the repositories) finds 6 of the 7 benchmark uids in a 37,789-ID list of animated Objaverse-1.0 objects published in the Diffusion4D repository, matching that statement. SV4D states it excluded the benchmark objects; L4GM v1 states that it renders all animated Objaverse 1.0 objects and evaluates on the benchmark, and the passages searched contain no exclusion statement; SV4D 2.0 v3 contains no such statement in the strings searched. Overlap is therefore an open question for L4GM, and possibly SV4D 2.0, on this benchmark, not an established fact: L4GM filters videos by motion, and the L4GM training list is not in its repository. · locator: cited at https://github.com/yanqinJiang/Consistent4D; candidate evidence excerpts source
Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| documentation | unknown | permitted | permitted | unknown | unknown | Applies to this original summary only, not to the cited sources. |
Linked records
- cites → https://arxiv.org/html/2311.02848v1
- cites → https://arxiv.org/html/2405.16645v1
- cites → https://arxiv.org/html/2406.10324v1
- cites → https://arxiv.org/html/2407.17470v2
- cites → https://arxiv.org/html/2503.16396v3
- cites → https://github.com/vita-group/diffusion4d
- cites → https://github.com/yanqinjiang/consistent4d